A cinema playback method and system

Abstract

The application relates to a cinema playing method and system, and relates to the technical field of cinema playing, which comprises the following steps: collecting current film resource information, operation detection condition information of cinema seats and passenger detection information; determining demand operation condition information based on the current film resource information; determining operation deviation information based on the operation detection condition information and the demand operation condition information; determining deviation benchmark information based on the passenger detection information; determining operation adjustment information based on the operation deviation information and the deviation benchmark information, and outputting the operation adjustment information to the cinema seats to perform action adjustment. The application has the effect of improving the viewing experience of audiences.

Description

Technical Field

[0001] This invention relates to the field of cinema playback technology, and in particular to a cinema playback method and system. Background Technology

[0002] Cinema playback technology refers to a series of technical means used in a cinema environment to achieve high-quality presentation of film content through professional equipment and systems. It encompasses the entire process from image projection and audio reproduction to the creation of the viewing environment, aiming to provide audiences with an immersive and high-fidelity audiovisual experience.

[0003] 4D cinema technology is a system that combines traditional 3D stereoscopic images (visual dimension) with environmental simulation effects (such as motion, touch, smell, and hearing) to create an immersive experience through multi-sensory interaction. Currently, it generally achieves six degrees of freedom of movement by installing hydraulic / pneumatic / electric devices on the seats. Based on the film scene, the seats are controlled to perform actions such as vertical translation, forward and backward translation, left and right translation, pitch, roll, yaw, and rotation, thereby immersing the audience in the story.

[0004] When using seats to move the audience in order to immerse them in the story, only about 10% of commercial films worldwide provide official 4D effects tracks. Most cinemas need to manually "re-develop" these effects, resulting in a difference of more than one second between the seat movement effects and the actual picture. This can easily cause dizziness and other problems for the audience, affecting their viewing experience. Summary of the Invention

[0005] To enhance the viewing experience for audiences, this invention provides a cinema playback method and system.

[0006] In a first aspect, the present invention provides a cinema playback method, which adopts the following technical solution:

[0007] A cinema playback method includes:

[0008] Step S1: Collect current film resource information, cinema seat operation detection information, and passenger detection information. The passenger detection information is legally obtained and with the consent of the passengers.

[0009] Step S2: Determine the required operation status information based on the current video resource information;

[0010] Step S3: Determine the operational deviation information based on the operational detection information and the required operational information;

[0011] Step S4: Determine the deviation baseline information based on the passenger detection information;

[0012] Step S5: Determine operation adjustment information based on the operation deviation information and the deviation reference information, and output the operation adjustment information to the cinema seats for motion adjustment.

[0013] Optionally, step S2 includes the following steps:

[0014] Step S21: Retrieve audio resource information and video resource information based on the current video resource information;

[0015] Step S22: Generate audio content information based on the audio resource information;

[0016] Step S23: Determine audio action information based on the audio content information;

[0017] Step S24: Generate image content information based on the image resource information;

[0018] Step S25: Determine the screen action information based on the screen content information;

[0019] Step S26: Determine the content association value based on the audio content information and the video content information;

[0020] Step S27: Generate comprehensive operation requirement information based on the content association value, the audio action information, and the screen action information, and use the comprehensive operation requirement information as the requirement operation status information.

[0021] Optionally, step S27 includes the following steps:

[0022] Step S271: Determine whether the content association value is greater than the preset association benchmark value;

[0023] Step S272: If yes, generate strongly correlated comprehensive requirement information based on the audio action information and the screen action information, and use the strongly correlated comprehensive requirement information as the operation comprehensive requirement information;

[0024] Step S273: If not, determine the same type of action information, audio single action information, and screen single action information based on the audio action information and the screen action information;

[0025] Step S274: Retrieve information on the same type of demand based on the aforementioned information on the same type of action;

[0026] Step S275: Retrieve audio single request type information based on the audio single action information;

[0027] Step S276: Retrieve the single-requirement type information of the single screen based on the single-screen action information;

[0028] Step S277: Generate weakly correlated comprehensive demand information based on the same type of demand information, the audio single demand information, and the video single demand information, and use the weakly correlated comprehensive demand information as the operation comprehensive demand information.

[0029] Optionally, step S272 includes the following steps:

[0030] Step S2721: Retrieve audio action type information and audio action amplitude value based on the audio action information;

[0031] Step S2722: Retrieve the image action type information and image action amplitude value based on the image action information;

[0032] Step S2723: Determine the action type association influence value based on the audio action type information and the video action type information;

[0033] Step S2724: Calculate the difference between the audio motion amplitude value and the image motion amplitude value and use it as the motion amplitude deviation value;

[0034] Step S2725: Calculate the product between the motion amplitude deviation value and the motion type-related influence value, and use it as the amplitude deviation adjustment value;

[0035] Step S2726: Calculate the sum between the amplitude deviation adjustment value and the audio motion amplitude value and use it as the audio amplitude correction value, and combine the audio amplitude correction value with the audio motion type information to form audio motion correction information;

[0036] Step S2727: Calculate the sum between the amplitude deviation adjustment value and the screen motion amplitude value and use it as the screen amplitude correction value, and combine the screen amplitude correction value with the screen motion type information to form screen motion correction information;

[0037] Step S2728: Combine the audio motion correction information and the video motion correction information to form comprehensive audio-visual motion information, and use the comprehensive audio-visual motion information as the strongly correlated comprehensive requirement information.

[0038] Optionally, step S277 includes the following steps:

[0039] Step S2771: Determine whether there is a correlation between the same type of demand information, the audio single demand information, and the video single demand information;

[0040] Step S2772: If yes, then the related same type of demand information, the audio single demand information and the screen single demand information are taken as associated type information, and the same type of action information, the audio single action information and the screen single action information other than the associated type information are taken as the remaining demand information.

[0041] Step S2773: Retrieve the correlation category amplitude value based on the correlation category information;

[0042] Step S2774: Select the minimum value based on the magnitude value of the correlation category and use it as the comprehensive magnitude value of the correlation category;

[0043] Step S2775: Combine the comprehensive magnitude value of the association type with the association type information to obtain the association type demand information, and combine the association type demand information with the remaining demand information to obtain the weak association comprehensive demand information;

[0044] Step S2776: If not, combine the same type of action information, the audio single action information and the screen single action information to form a single demand comprehensive information, and use the single demand comprehensive information as the weakly correlated comprehensive demand information.

[0045] Optionally, it may also include a step following step S27:

[0046] Step S281: Retrieve the next video resource information based on the current video resource information;

[0047] Step S282: Determine the next runtime requirement information based on the next video resource information;

[0048] Step S283: Determine the change information in operational requirements based on the comprehensive operational requirements information and the next operational requirements information;

[0049] Step S284: Retrieve information on the types of changes and the magnitude of those changes based on the aforementioned operational requirement change information;

[0050] Step S285: Retrieve comprehensive requirement type information based on the comprehensive operational requirement information;

[0051] Step S286: Determine whether the change type information is consistent with the comprehensive demand type information;

[0052] Step S287: If yes, determine the change range adjustment information based on the change range value of the type, and add the change range adjustment information to the demand operation status information for updating and replacement;

[0053] Step S288: If not, determine the baseline value of the change type amplitude based on the change type information;

[0054] Step S289: Calculate the difference between the baseline value of the change type amplitude and the change amplitude value of the type, and use it as the change amplitude deviation value;

[0055] Step S28A: Determine the change magnitude deviation adjustment information based on the change magnitude deviation value, and combine the change magnitude deviation adjustment information with the change type information and add it to the demand operation status information for updating and replacement.

[0056] Optionally, step S4 includes the following steps:

[0057] Step S41: Based on the passenger detection information, retrieve the passenger identity information, passenger physical detection information, and passenger location. The passenger identity information is legally obtained and the passenger's consent has been obtained.

[0058] Step S42: Calculate the vector distance between the seating position and the preset viewing reference position and use it as the seating vector distance value;

[0059] Step S43: Determine the vector distance reference information based on the aforementioned riding vector distance value;

[0060] Step S44: Generate individual baseline information based on the person's identity information and the person's physical detection information;

[0061] Step S45: Determine comprehensive benchmark information based on the individual personality benchmark information and the vector distance benchmark information, and use the comprehensive benchmark information as the deviation benchmark information.

[0062] Optionally, step S44 includes the following steps:

[0063] Step S441: Based on the person's identity information, retrieve the person's age information and the person's medical condition information. The person's age information and the person's medical condition information were legally obtained and with the consent of the passengers.

[0064] Step S442: Determine the age-based heart rate value based on the person's age information;

[0065] Step S443: Retrieve heart rate detection values ​​and passenger contact information based on the aforementioned personnel body detection information;

[0066] Step S444: Generate a heart rate adjustment value based on the passenger contact information and the passenger's medical condition information;

[0067] Step S445: Calculate the sum between the age-based baseline heart rate value and the riding heart rate adjustment value, and use it as the heart rate correction value;

[0068] Step S446: Calculate the difference between the heart rate correction value and the heart rate detection value and use it as the heart rate deviation value;

[0069] Step S447: Determine the heart rate deviation baseline information based on the heart rate deviation value, and use the heart rate deviation baseline information as the individual's personality baseline information.

[0070] Optionally, step S444 includes the following steps:

[0071] Step S4441: Retrieve the seat contact range and backrest contact height values ​​based on the aforementioned seating contact information;

[0072] Step S4442: Determine the sitting posture based on the seat contact range and the backrest contact height value;

[0073] Step S4443: Determine the influence value of posture on heart rate based on the sitting posture;

[0074] Step S4444: Determine whether the person's medical condition information is the preset color blindness condition information;

[0075] Step S4445: If yes, then determine the heart rate influence value of the screen based on the person's medical condition information and the screen content information;

[0076] Step S4446: Calculate the sum between the posture heart rate influence value and the image heart rate influence value and use it as the riding heart rate adjustment value;

[0077] Step S4447: If not, then use the posture heart rate influence value as the riding heart rate adjustment value.

[0078] Secondly, the present invention provides a cinema playback system, which adopts the following technical solution:

[0079] A cinema playback system, comprising:

[0080] The acquisition module is used to acquire current film resource information, cinema seat operation and detection information, and passenger detection information;

[0081] A memory for storing a cinema playback method as described in any one of the first aspects;

[0082] The processor loads and executes programs from memory.

[0083] In summary, the present invention has at least one of the following beneficial technical effects:

[0084] 1. By collecting information on current film resources, the operation and detection status of cinema seats, and the detection information of passengers, the system determines the required operation status information, analyzes the operation deviation information, determines the deviation baseline information through the passenger detection information, and then determines the operation adjustment information and outputs it to the cinema seats for action adjustment. This enables the cinema seats to automatically correspond to the film resources and meet the needs of passengers, thereby improving the audience's movie-watching experience.

[0085] 2. Retrieve audio and video resource information from the current video resource information, and determine the content association value, audio action information and video action information respectively to generate comprehensive operation requirements information. Then use the comprehensive operation requirements information as the requirements operation status information to improve the accuracy of the obtained requirements operation status information.

[0086] 3. By retrieving passenger identity information, passenger physical detection information, and passenger location information through passenger detection information, the passenger vector distance value is calculated to determine the vector distance benchmark information. Passenger individual benchmark information is generated by using passenger identity information and passenger physical detection information. Then, the comprehensive benchmark information is determined by using the passenger individual benchmark information and the vector distance benchmark information and used as the deviation benchmark information, thereby improving the accuracy of the obtained deviation benchmark information. Attached Figure Description

[0087] Figure 1 This is a flowchart of a cinema playback method according to an embodiment of this application;

[0088] Figure 2 This is a flowchart illustrating the method for determining operational information requirements in an embodiment of this application.

[0089] Figure 3 This is a flowchart of the method for generating comprehensive operational requirements information according to an embodiment of this application;

[0090] Figure 4 This is a flowchart of a method following the step of using comprehensive operational requirements information as operational requirements information in an embodiment of this application.

[0091] Figure 5 This is a flowchart of a method for determining deviation reference information according to an embodiment of this application. Detailed Implementation

[0092] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0093] A cinema playback method collects information on current film resources, cinema seat operation status, and passenger detection. Based on the passenger information and the current film playback status, the method controls the cinema seats to adjust their movements, thereby enabling the cinema seats to automatically correspond to the film resources and meet the needs of the passengers, thus improving the audience's viewing experience.

[0094] Reference Figure 1 This invention discloses a cinema playback method, which includes:

[0095] Step S1: Collect current film resource information, cinema seat operation and detection information, and passenger detection information.

[0096] The current film resource information refers to the resource information corresponding to the film currently being played. This information is obtained by staff pre-inputting data during playback. The operation detection information refers to the actual operation status information of the seats in the cinema. This information is obtained by detecting and uploading the motion parameters of the cinema seats, which can perform actions such as rocking, multi-directional movement, pitching, rolling, vibration, or airflow.

[0097] Passenger detection information refers to the detection information obtained from detecting people sitting in cinema seats. This information includes passenger identity information, passenger physical detection information, and seating location. Passenger identity information is obtained by querying the ticketing system and identifying the identity of the person sitting in the cinema seat. Passenger physical detection information is obtained by detecting the contact between passengers and seats through pressure sensors pre-installed on the cinema seats. Seating location refers to the exact location of the cinema seat, obtained by analyzing the unique code of the cinema seat. The passenger detection information is legally obtained and with the consent of the passengers.

[0098] Step S2: Determine the required operation status information based on the current video resource information.

[0099] The demand operation information refers to the specific actions required by the cinema seats for the film currently playing. This information is determined by analyzing the current film resource information for future use. The specific steps for determining the demand operation information are detailed in steps S21 to S27.

[0100] Step S3: Determine the operational deviation information based on the operational detection information and the required operational information.

[0101] Among them, the operation deviation information refers to the deviation information corresponding to the movement of the cinema seats. By comparing the operation detection information with the required operation information, the types of movements and the range of movements that do not match are used as operation deviation information for subsequent use.

[0102] Step S4: Determine the deviation baseline information based on the passenger detection information.

[0103] The deviation baseline information refers to the maximum operational deviation that passengers can tolerate while maintaining normal and comfortable viewing. This deviation baseline information is determined by analyzing passenger data for subsequent use. The specific steps for determining the deviation baseline information are detailed in steps S41 to S45.

[0104] Step S5: Determine the operation adjustment information based on the operation deviation information and deviation benchmark information, and output the operation adjustment information to the cinema seats for motion adjustment.

[0105] Among them, the operation adjustment information refers to the control information corresponding to the movement adjustment of the cinema seats. By comparing the operation deviation information with the deviation benchmark information, and taking the parameters such as the type and amplitude of the movement obtained from the comparison as the operation adjustment information, the operation adjustment information is then output to the cinema seats to make movement adjustments, so that the cinema seats can automatically correspond to the film resources and meet the needs of the passengers, thereby improving the audience's movie viewing experience.

[0106] In step S2, in order to further ensure the rationality of the demand operation information, it is necessary to perform further separate analysis and calculation on the demand operation information, which will be explained in detail through the following steps.

[0107] Reference Figure 2 The method for determining the operational status information of demand includes the following steps:

[0108] Step S21: Retrieve audio and video resource information based on the current video resource information.

[0109] Audio resource information refers to the audio resources corresponding to the currently playing video, while video resource information refers to the visual resources such as characters and scenes corresponding to the currently playing video. The current video resource information includes both audio and video resource information, which are retrieved for later use.

[0110] Step S22: Generate audio content information based on audio resource information.

[0111] The audio content information refers to the meaning information corresponding to the currently playing video audio. This information is obtained by inputting audio resource information into an audio meaning recognition model for matching. The audio meaning recognition model is a model used to convert audio into text. It can be obtained through pre-training or by directly calling other speech recognition programs.

[0112] Step S23: Determine audio action information based on audio content information.

[0113] The audio motion information refers to the types and amplitude of movements required by the currently playing movie audio for the theater seats. This is achieved by inputting the audio content into a pre-set motion database for matching. The motion control parameters corresponding to the matched motion reference words are then used as the audio motion information for subsequent use. The motion database pre-stores different motion reference words and their corresponding motion control parameters, which are retrieved after pre-input.

[0114] Step S24: Generate image content information based on image resource information.

[0115] The image content information refers to the meaning information corresponding to the currently playing video frame. This information is obtained by inputting the image resource information into the image meaning recognition model for matching. The image meaning recognition model is a model used to convert images into text. It can be obtained through pre-training or by directly calling other image recognition programs.

[0116] Step S25: Determine the screen action information based on the screen content information.

[0117] Among them, the screen motion information refers to the type and amplitude of the motion required for the cinema seats to move in the currently playing film screen. By inputting the screen content information into the preset motion database for matching, the motion control parameter information corresponding to the matching motion benchmark words is used as the screen motion information for subsequent use.

[0118] Step S26: Determine the content association value based on the audio content information and the video content information.

[0119] The content association value refers to the degree of association between the currently playing video visuals and audio. This is achieved by inputting the audio content information into a pre-set related meaning database to obtain relevant meaning information. This relevant meaning information is then compared with the visual content information, and the proportion of matched words in the visual content information to the total number of words in the visual content information is calculated and used as the content association value for subsequent use. Related meaning information refers to text information with the same or related meaning as the text in the audio content information. The related meaning database pre-stores different audio content information and their corresponding related meaning information, and is obtained after pre-input.

[0120] Step S27: Generate comprehensive operational requirements information based on content association values, audio action information, and screen action information, and use the comprehensive operational requirements information as operational status information.

[0121] Among them, the comprehensive operational demand information refers to the demand information corresponding to the operation of the cinema seats based on the film's visuals and voice control. By analyzing the content association values, audio action information, and visual action information, comprehensive operational demand information is generated and used as demand operation status information, thereby improving the accuracy of the obtained demand operation status information.

[0122] In step S27, in order to further ensure the rationality of the comprehensive operational requirements information, it is necessary to perform further separate analysis and calculation on the comprehensive operational requirements information, which will be explained in detail through the following steps.

[0123] Reference Figure 3 The method for generating comprehensive requirements information includes the following steps:

[0124] Step S271: Determine whether the content association value is greater than the preset association benchmark value. If yes, proceed to step S272; if no, proceed to step S273.

[0125] The correlation benchmark value refers to the minimum correlation value between the audio and visuals in the film, which is obtained through pre-input. The correlation benchmark value is determined by checking whether the content correlation value is greater than the preset correlation benchmark value, thereby determining whether there is a correlation between the audio and visuals in the film.

[0126] Step S272: Generate strongly correlated comprehensive requirement information based on audio action information and video action information, and use the strongly correlated comprehensive requirement information as the comprehensive requirement information for operation.

[0127] Among them, the strongly correlated comprehensive demand information refers to the demand information corresponding to the operation of the cinema seats when there is a strong correlation between the film's picture and the audio. By analyzing the audio motion information and the picture motion information, the strongly correlated comprehensive demand information is generated and used as the operation comprehensive demand information, thereby improving the accuracy of the obtained operation comprehensive demand information.

[0128] Step S273: Determine the same type of action information, audio single action information, and video single action information based on audio action information and video action information.

[0129] Among them, "same type motion information" refers to the motion type and amplitude parameter information corresponding to the motion required by the audio and the motion required by the visuals belonging to the same type; "audio single motion information" refers to the motion type and amplitude parameter information required only for audio; and "visual single motion information" refers to the motion type and amplitude parameter information required only for visuals. By comparing the types of audio motion information and visual motion information, those of the same type are classified as "same type motion information," those that are only audio are classified as "audio single motion information," and those that are only visuals are classified as "visual single motion information," which facilitates subsequent use.

[0130] Step S274: Retrieve information on the same type of demand based on information on the same type of action.

[0131] Among them, the information on the same type of demand refers to the information on the types of actions corresponding to the same type of actions. The information on the same type of demand can be retrieved through the information on the types of actions to facilitate subsequent use.

[0132] Step S275: Retrieve audio single request type information based on audio single action information.

[0133] Among them, the audio single demand type information refers to the action type information corresponding to the audio single action. The audio single demand type information can be retrieved through the audio single action information for convenient subsequent use.

[0134] Step S276: Retrieve the screen single demand type information based on the screen single action information.

[0135] Among them, the single-screen demand type information refers to the action type information corresponding to the single-screen action. The single-screen demand type information can be retrieved through the single-screen action information for convenient subsequent use.

[0136] Step S277: Generate weakly correlated comprehensive requirement information based on the same type of requirement information, audio single requirement information and video single requirement information, and use the weakly correlated comprehensive requirement information as the running comprehensive requirement information.

[0137] Among them, weakly correlated comprehensive demand information refers to the demand information corresponding to the operation of the cinema seats when there is a weak correlation between the film's picture and the audio. By analyzing the demand information of the same type, the audio single demand information and the picture single demand information, weakly correlated comprehensive demand information is generated and used as the operation comprehensive demand information, thereby improving the accuracy of the obtained operation comprehensive demand information.

[0138] In step S272, in order to further ensure the rationality of the strongly correlated comprehensive demand information, it is necessary to perform further separate analysis and calculation on the strongly correlated comprehensive demand information, which will be explained in detail through the following steps.

[0139] The method for generating strongly correlated comprehensive demand information includes the following steps:

[0140] Step S2721: Retrieve audio action type information and audio action amplitude value based on audio action information.

[0141] The audio action type information refers to the type of action corresponding to the audio action, and the audio action amplitude value refers to the amplitude value corresponding to the audio action. The audio action information includes both the audio action type information and the audio action amplitude value. Retrieving the audio action type information and the audio action amplitude value from the audio action information facilitates subsequent use.

[0142] Step S2722: Retrieve the type of screen motion and the amplitude value of screen motion based on the screen motion information.

[0143] Among them, the image motion type information refers to the motion type information corresponding to the image motion, and the image motion amplitude value refers to the amplitude value corresponding to the image motion. The image motion information includes both image motion type information and image motion amplitude value. Retrieving the image motion type information and image motion amplitude value through the image motion information facilitates subsequent use.

[0144] Step S2723: Determine the correlation influence value of action type based on audio action type information and visual action type information.

[0145] The motion type association impact value refers to the influence value on the amplitude of the other type when there is a correlation between two types. Different audio motion type information and visual motion type information correspond to different motion type association impact values. The motion type association impact value is obtained by inputting the audio motion type information and visual motion type information into a preset motion type association database for matching, facilitating subsequent use. The motion type association database pre-stores a lookup table of different audio motion type information and visual motion type information with their corresponding motion type association impact values, which is obtained after pre-input.

[0146] Step S2724: Calculate the difference between the audio motion amplitude value and the image motion amplitude value and use it as the motion amplitude deviation value.

[0147] Among them, the motion amplitude deviation value refers to the deviation value corresponding to the deviation between the amplitude of audio motion and the amplitude of video motion. The difference between the audio motion amplitude value and the video motion amplitude value is calculated and used as the motion amplitude deviation value for subsequent use.

[0148] Step S2725: Calculate the product between the motion amplitude deviation value and the motion type-related influence value and use it as the amplitude deviation adjustment value.

[0149] Among them, the amplitude deviation adjustment value refers to the adjustment value after adjustment based on the amplitude deviation. It is calculated by multiplying the amplitude deviation value of the action and the influence value related to the action type and used as the amplitude deviation adjustment value for convenient subsequent use.

[0150] Step S2726: Calculate the sum between the amplitude deviation adjustment value and the audio motion amplitude value and use it as the audio amplitude correction value. Combine the audio amplitude correction value with the audio motion type information to form audio motion correction information.

[0151] The audio amplitude correction value refers to the amplitude value corresponding to the correction of the audio action amplitude, while the audio action correction information refers to the corresponding requirement information after the audio action is corrected. The audio amplitude correction value is calculated by summing the amplitude deviation adjustment value and the audio action amplitude value, and then combined with the audio action type information to form the audio action correction information, which facilitates subsequent use.

[0152] Step S2727: Calculate the sum between the amplitude deviation adjustment value and the screen motion amplitude value and use it as the screen amplitude correction value. Combine the screen amplitude correction value with the screen motion type information to form screen motion correction information.

[0153] The image amplitude correction value refers to the amplitude value corresponding to the correction of the image motion amplitude, while the image motion correction information refers to the required information corresponding to the correction of the image motion. The image amplitude correction value is calculated by summing the amplitude deviation adjustment value and the image motion amplitude value, and then combined with the image motion type information to form the image motion correction information, which facilitates subsequent use.

[0154] Step S2728: Combine the audio motion correction information and the video motion correction information to form the audio-visual integrated motion information, and use the audio-visual integrated motion information as the strongly correlated integrated requirement information.

[0155] Among them, the audio-visual integrated motion information refers to the requirement information corresponding to the integration of sound motion and visual motion. By combining audio motion correction information with visual motion correction information to form the audio-visual integrated motion information, and using the audio-visual integrated motion information as strongly correlated integrated requirement information, the accuracy of the obtained strongly correlated integrated requirement information is improved.

[0156] In step S277, in order to further ensure the rationality of the weakly correlated comprehensive demand information, it is necessary to perform further separate analysis and calculation on the weakly correlated comprehensive demand information, which will be explained in detail through the following steps.

[0157] The method for generating weakly correlated comprehensive demand information includes the following steps:

[0158] Step S2771: Determine whether there is a correlation between the same type of demand information, the audio single demand information, and the video single demand information. If yes, proceed to step S2772; if no, proceed to step S2776.

[0159] Specifically, by inputting information on similar demand categories, audio single demand categories, and video single demand categories into a pre-set associated category database, the system checks whether they coexist to determine if a relationship exists, and thus whether they can be directly combined. The associated category database pre-stores a lookup table of different mutually related information on similar demand categories, audio single demand categories, and video single demand categories, which is obtained after pre-input.

[0160] Step S2772: Take the related type of demand information, audio single demand information and screen single demand information as related type information, and take the corresponding type of action information, audio single action information and screen single action information other than the related type information as the remaining demand information.

[0161] Among them, the association type information refers to the type information when an association exists, and the remaining demand information refers to the type information when no association exists.

[0162] When there is a correlation between the same type of demand information, audio single demand information and video single demand information, it means that they cannot be directly combined. Therefore, the related same type of demand information, audio single demand information and video single demand information are combined as related type information, and the remaining demand information is defined to facilitate subsequent use.

[0163] Step S2773: Retrieve the magnitude value of the association type based on the association type information.

[0164] Among them, the associated category amplitude value refers to the amplitude value corresponding to the action of the associated category. The associated category amplitude value can be retrieved through the associated category information for convenient subsequent use.

[0165] Step S2774: Select the minimum value based on the magnitude value of the association category and use it as the comprehensive magnitude value of the association category.

[0166] Among them, the comprehensive amplitude value of the associated types refers to the amplitude value corresponding to the comprehensive selection of actions of associated types. By sorting the amplitude values ​​of associated types from smallest to largest, the minimum value is selected as the comprehensive amplitude value of associated types for convenient use later.

[0167] Step S2775: Combine the comprehensive magnitude value of the association type with the association type information to form the association type demand information, and combine the association type demand information with the remaining demand information to form the weak association comprehensive demand information.

[0168] Among them, the related category demand information refers to the demand information corresponding to the operation of the cinema seats based on the related category. By combining the comprehensive amplitude value of the related category with the related category information as the related category demand information, and combining the related category demand information with the remaining demand information as the weakly related comprehensive demand information, the accuracy of the obtained weakly related comprehensive demand information is improved.

[0169] Step S2776: Combine information on similar types of actions, audio single-action information, and video single-action information to form a single demand comprehensive information, and use the single demand comprehensive information as weakly correlated comprehensive demand information.

[0170] Among them, the comprehensive information of a single demand refers to the demand information corresponding to the operation of cinema seats based on a single type.

[0171] When there is no correlation between the same type of demand information, audio single demand information and video single demand information, it means that they can be directly combined. Therefore, by combining the same type of action information, audio single action information and video single action information as a single demand comprehensive information, and using the single demand comprehensive information as weakly correlated comprehensive demand information, the accuracy of the obtained weakly correlated comprehensive demand information is improved.

[0172] After step S27, in order to further ensure the rationality of the demand operation information, it is necessary to perform further separate analysis and calculation on the demand operation information, which will be explained in detail through the following steps.

[0173] Reference Figure 4 The steps following the integration of operational requirements information as operational status information include the following:

[0174] Step S281: Retrieve the next video resource information based on the current video resource information.

[0175] The next video resource information refers to the resource information corresponding to the video to be played at the next time. The next video resource information can be retrieved through the current video resource information for convenient use.

[0176] Step S282: Determine the next running requirements information based on the next video resource information.

[0177] The next operational requirement information refers to the requirement information corresponding to the operation of the cinema seats when the movie to be played at the next time is executed. By analyzing the next movie resource information, the next operational requirement information is determined to facilitate subsequent use. The steps for determining the next operational requirement information can be referred to steps S21 to S27.

[0178] Step S283: Determine the change information of operating requirements based on the comprehensive operating requirements information and the next operating requirements information.

[0179] Among them, the change information of operating requirements refers to the change information corresponding to the change when the requirements for controlling the operation of cinema seats change. By comparing the comprehensive operating requirements information with the next operating requirements information, the deviation found in the comparison is used as the change information of operating requirements, which is convenient for subsequent use.

[0180] Step S284: Retrieve information on the types of changes and the magnitude of those changes based on the information on changes in operational requirements.

[0181] Among them, the change type information refers to the type of change action corresponding to the demand change action of controlling the cinema seats during operation, and the change magnitude value refers to the magnitude value corresponding to the demand change action. The operation demand change information includes change type information and change magnitude value. The change type information and change magnitude value can be retrieved through the operation demand change information for convenient subsequent use.

[0182] Step S285: Retrieve comprehensive requirement type information based on comprehensive operational requirement information.

[0183] Among them, the comprehensive demand type information refers to the type information corresponding to the comprehensive demand action. Running the comprehensive demand information includes the comprehensive demand type information. The comprehensive demand type information can be retrieved by running the comprehensive demand information for convenient subsequent use.

[0184] Step S286: Determine whether the change type information is consistent with the comprehensive requirement type information. If yes, proceed to step S287; if no, proceed to step S288.

[0185] Specifically, by judging whether the change type information is consistent with the comprehensive demand type information, it is determined whether to directly update or replace the demand operation information based on the change type magnitude value.

[0186] Step S287: Determine the change range adjustment information based on the change range value of the type, and add the change range adjustment information to the demand operation status information for updating and replacement.

[0187] Among them, the change range adjustment information refers to the adjustment information used to control the operation of cinema seats based on the change range value of the type. When the change type information matches the comprehensive demand type information, it means that the demand operation information can be directly updated and replaced based on the change range value of the type. Therefore, by inputting the change range value of the type into a preset change range adjustment database to match and obtain the change range adjustment information, and adding the change range adjustment information to the demand operation information for updating and replacement, the accuracy of the final demand operation information is improved. The change range adjustment database pre-stores a lookup table of different change range values ​​and their corresponding change range adjustment information, which is obtained after pre-input.

[0188] Step S288: Determine the baseline value of the magnitude of the change type based on the change type information.

[0189] The change category amplitude benchmark value refers to the maximum possible change in amplitude for each category of demand change action. Different change category information corresponds to different change category amplitude benchmark values. When the change category information is inconsistent with the comprehensive demand category information, it indicates that the demand operation information is not directly updated or replaced based on the category change amplitude value. Therefore, the change category information is input into a preset change category amplitude benchmark database to match and obtain the change category amplitude benchmark value for subsequent use. The change category amplitude benchmark database pre-stores a lookup table of different change category information and their corresponding change category amplitude benchmark values, which is obtained after pre-input.

[0190] Step S289: Calculate the difference between the baseline value of the change category amplitude and the change category amplitude value, and use it as the change amplitude deviation value.

[0191] Among them, the deviation value of change amplitude refers to the deviation value corresponding to the deviation when there is a deviation in the amplitude of the type of change action. The difference between the baseline value of the change amplitude of the type and the change amplitude value of the type is calculated and used as the deviation value of change amplitude for convenient subsequent use.

[0192] Step S28A: Determine the adjustment information for the change magnitude deviation based on the change magnitude deviation value, and combine the change magnitude deviation adjustment information with the change type information and add it to the required operation status information for updating and replacement.

[0193] The variation amplitude deviation adjustment information refers to the adjustment information used to control the operation of cinema seats based on the deviation of the variation amplitude of the demand change action. Different variation amplitude deviation values ​​correspond to different variation amplitude deviation adjustment information. By inputting the variation amplitude deviation values ​​into a preset variation amplitude deviation adjustment database to obtain the variation amplitude deviation adjustment information, the variation amplitude deviation adjustment information is combined with the change type information and added to the demand operation status information for updating and replacement, thereby improving the accuracy of the obtained demand operation status information. The variation amplitude deviation adjustment database pre-stores a lookup table of different variation amplitude deviation values ​​and their corresponding variation amplitude deviation adjustment information, and is obtained after pre-input.

[0194] In step S4, in order to further ensure the rationality of the deviation benchmark information, it is necessary to perform further separate analysis and calculation on the deviation benchmark information, which will be explained in detail through the following steps.

[0195] Reference Figure 5 The method for determining deviation baseline information includes the following steps:

[0196] Step S41: Retrieve the passenger's identity information, physical examination information, and passenger location based on the passenger detection information.

[0197] This process involves retrieving passenger identity information, physical examination data, and boarding location information through passenger detection data for future use. The passenger identity information was legally obtained with the passenger's consent.

[0198] Step S42: Calculate the vector distance between the seating position and the preset viewing reference position and use it as the seating vector distance value.

[0199] The viewing reference position point refers to the center reference position of the video playback, which is obtained through pre-input. The riding vector distance value refers to the vector distance between the position of the passenger and the playback position. It is calculated by the vector distance between the riding position point and the preset viewing reference position point and used as the riding vector distance value for subsequent use.

[0200] Step S43: Determine the vector distance reference information based on the riding vector distance value.

[0201] The vector distance reference information refers to the maximum tolerable deviation of the cinema seat's movement based on the passenger vector distance value. The larger the directional angle and distance corresponding to the passenger vector distance value, the smaller the corresponding movement amplitude. The passenger vector distance value is input into a preset vector distance reference database to obtain the vector distance reference information for subsequent use. The vector distance reference database pre-stores a lookup table of different passenger vector distance values ​​and their corresponding vector distance reference information, which is obtained after pre-input.

[0202] Step S44: Generate individual baseline information based on personnel identity information and personnel physical detection information.

[0203] Among them, the personal baseline information refers to the maximum deviation that the cinema seat can tolerate based on the physical condition of the passenger. The personal baseline information is generated by analyzing the passenger's identity information and physical detection information, which is convenient for subsequent use.

[0204] Step S45: Determine the comprehensive benchmark information based on the individual personnel benchmark information and the vector distance benchmark information, and use the comprehensive benchmark information as the deviation benchmark information.

[0205] Among them, the comprehensive reference information refers to the comprehensive deviation information that the operating deviation of the cinema seat can be tolerated based on the position and physical condition of the passengers. By selecting the minimum deviation between the individual reference information and the vector distance reference information and using it as the comprehensive reference information, the accuracy of the obtained deviation reference information is improved.

[0206] In step S44, in order to further ensure the rationality of the personnel's personality baseline information, it is necessary to perform further separate analysis and calculation on the personnel's personality baseline information, which will be explained in detail through the following steps.

[0207] The method for generating individual personality baseline information includes the following steps:

[0208] Step S441: Retrieve the person's age information and medical condition information based on the person's identity information.

[0209] The passenger age information refers to the age of the passengers, and the passenger medical condition information refers to the medical condition information registered by the passengers. Passenger identity information includes both age and medical condition information; this information is retrieved through the passenger identity information for future use. The passenger age and medical condition information were legally obtained with the passengers' consent.

[0210] Step S442: Determine the age-based baseline heart rate value based on the person's age information.

[0211] The age-based baseline heart rate value refers to the average heart rate of passengers under normal conditions, with different age information corresponding to different age-based baseline heart rate values. The age-based baseline heart rate value is obtained by inputting the passenger's age information into a preset age-based baseline heart rate database for convenient subsequent use. The age-based baseline heart rate database pre-stores a lookup table of different passenger ages and their corresponding age-based baseline heart rate values, and is obtained after pre-input.

[0212] Step S443: Retrieve heart rate detection values ​​and passenger contact information based on the person's physical examination information.

[0213] Among these, heart rate detection value refers to the detected heart rate of the passenger, and passenger contact information refers to the detected contact information between the passenger and the cinema seat. Heart rate detection value and passenger contact information are retrieved from the passenger's physical monitoring data for later use.

[0214] Step S444: Generate a heart rate adjustment value based on passenger contact information and passenger medical condition information.

[0215] Among them, the heart rate adjustment value refers to the adjustment value corresponding to the tolerable heart rate of passengers. The heart rate adjustment value is generated by analyzing the passenger contact information and the passenger's medical condition information, so as to facilitate subsequent use.

[0216] Step S445: Calculate the sum between the age-based baseline heart rate value and the riding heart rate adjustment value and use it as the heart rate correction value.

[0217] The heart rate correction value refers to the heart rate value after adjusting the passenger's tolerable heart rate. It is calculated by the sum of the age-based baseline heart rate value and the passenger heart rate adjustment value, and is used as the heart rate correction value for subsequent use.

[0218] Step S446: Calculate the difference between the heart rate correction value and the heart rate detection value and use it as the heart rate deviation value.

[0219] Among them, the heart rate deviation value refers to the deviation value corresponding to the current detected heart rate of the passenger. The difference between the heart rate correction value and the heart rate detection value is calculated and used as the heart rate deviation value for subsequent use.

[0220] Step S447: Determine the heart rate deviation baseline information based on the heart rate deviation value, and use the heart rate deviation baseline information as the individual's personal baseline information.

[0221] Among them, heart rate deviation benchmark information refers to the maximum tolerable deviation of the cinema seat's operation based on heart rate deviation. This benchmark information is obtained by inputting heart rate deviation values ​​into a pre-set heart rate deviation benchmark database, and then using this benchmark information as individual personality benchmark information to improve the accuracy of the acquired individual personality benchmark information. The heart rate deviation benchmark database pre-stores a lookup table of different heart rate deviation values ​​and their corresponding heart rate deviation benchmark information, and is obtained after pre-input.

[0222] In step S444, in order to further ensure the rationality of the riding heart rate adjustment value, it is necessary to perform a further separate analysis and calculation on the riding heart rate adjustment value, which will be explained in detail through the following steps.

[0223] The method for generating heart rate adjustment values ​​during riding includes the following steps:

[0224] Step S4441: Retrieve the seat contact range and backrest contact height values ​​based on the seating contact information.

[0225] The seat contact area refers to the contact area and position between the occupant and the cinema seat cushion, while the backrest contact height refers to the maximum height of the area where the occupant contacts the cinema seat back. The occupant contact information includes both the seat contact area and the backrest contact height. This information is used to retrieve the seat contact area and backrest contact height values ​​for convenient subsequent use.

[0226] Step S4442: Determine the sitting posture based on the seat contact range and backrest contact height.

[0227] The seating posture refers to the posture of a person sitting in a cinema seat. This is determined by inputting the seat contact area and backrest contact height values ​​into a pre-set posture database to match the desired posture for later use. The posture database contains a pre-stored table of different seat contact areas and backrest contact height values ​​and their corresponding seating postures, which is retrieved after pre-input.

[0228] Step S4443: Determine the influence value of posture on heart rate based on sitting posture.

[0229] The postural heart rate impact value refers to the influence of a passenger's posture on their heart rate. Different sitting postures correspond to different postural heart rate impact values. The postural heart rate impact value is obtained by inputting the sitting posture into a pre-set postural heart rate impact database for convenient subsequent use. The postural heart rate impact database pre-stores a lookup table of different sitting postures and their corresponding postural heart rate impact values, and is obtained after pre-input.

[0230] Step S4444: Determine whether the person's medical condition information matches the preset color blindness condition information. If yes, proceed to step S4445; if no, proceed to step S4447.

[0231] Among them, color blindness information refers to the condition information corresponding to the color blindness of passengers, which is obtained after pre-input. By judging whether the passenger's condition information matches the preset color blindness information, it can be determined whether the passenger has color blindness.

[0232] Step S4445: Determine the influence value of heart rate on the image based on the person's medical condition information and the image content information.

[0233] Among them, the heart rate impact value of the video refers to the impact value of the video playback on the heart rate of passengers.

[0234] If the passenger's medical condition information matches the preset color blindness information, it indicates that the passenger is colorblind. Therefore, the passenger's medical condition information and the screen content information are input into a preset screen heart rate impact database to obtain the screen heart rate impact value for subsequent use. The screen heart rate impact database pre-stores a lookup table of different passenger medical condition information and screen content information with their corresponding screen heart rate impact values, which is obtained after pre-input.

[0235] Step S4446: Calculate the sum between the postural heart rate influence value and the visual heart rate influence value and use it as the riding heart rate adjustment value.

[0236] Specifically, the accuracy of the obtained riding heart rate adjustment value is improved by calculating the sum of the heart rate influence values ​​of posture and the heart rate influence values ​​of image.

[0237] Step S4447: Use the postural heart rate influence value as the riding heart rate adjustment value.

[0238] If the passenger's condition information is not the preset color blindness condition information, it means that the passenger does not have color blindness. Therefore, the postural heart rate influence value is directly used as the passenger heart rate adjustment value to improve the accuracy of the obtained passenger heart rate adjustment value.

[0239] Based on the same inventive concept, embodiments of the present invention provide a cinema playback system, including:

[0240] The acquisition module is used to acquire current film resource information, cinema seat operation and detection information, and passenger detection information;

[0241] A memory for storing a cinema playback method as described above;

[0242] The processor loads and executes programs from memory.

[0243] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0244] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A cinema playback method, characterized in that, include: S1: Collect current film resource information, cinema seat operation and detection information, and passenger detection information; S2: Determine the demand operation status information based on the current video resource information; S3: Determine the operational deviation information based on the operational detection information and the required operational information; S4: Determine deviation baseline information based on the passenger detection information; S5: Determine operation adjustment information based on the operation deviation information and the deviation reference information, and output the operation adjustment information to the cinema seats for motion adjustment; S2 includes the following steps: S21: Retrieve audio resource information and video resource information based on the current video resource information; S22: Generate audio content information based on the audio resource information; S23: Determine audio action information based on the audio content information; S24: Generate image content information based on the image resource information; S25: Determine screen action information based on the screen content information; S26: Determine a content association value based on the audio content information and the video content information; S27: Generate comprehensive operation requirement information based on the content association value, the audio action information, and the screen action information, and use the comprehensive operation requirement information as the requirement operation status information.

2. The cinema playback method according to claim 1, characterized in that, Step S27 includes the following steps: S271: Determine whether the content association value is greater than the preset association benchmark value; S272: If yes, then generate strongly correlated comprehensive requirement information based on the audio action information and the screen action information, and use the strongly correlated comprehensive requirement information as the operation comprehensive requirement information; S273: If not, then determine the same type of action information, audio single action information, and screen single action information based on the audio action information and the screen action information; S274: Retrieve information on the same type of demand based on the aforementioned action information; S275: Retrieve audio single demand type information based on the audio single action information; S276: Retrieve the single-demand type information of the single screen based on the single screen action information; S277: Generate weakly correlated comprehensive demand information based on the same type of demand information, the audio single demand information, and the video single demand information, and use the weakly correlated comprehensive demand information as the operation comprehensive demand information.

3. The cinema playback method according to claim 2, characterized in that, Step S272 includes the following steps: S2721: Retrieve audio action type information and audio action amplitude value based on the audio action information; S2722: Retrieve the type of screen action and the amplitude value of the screen action based on the screen action information; S2723: Determine the action type association influence value based on the audio action type information and the visual action type information; S2724: Calculate the difference between the audio motion amplitude value and the image motion amplitude value and use it as the motion amplitude deviation value; S2725: Calculate the product between the motion amplitude deviation value and the motion type-related influence value, and use it as the amplitude deviation adjustment value; S2726: Calculate the sum between the amplitude deviation adjustment value and the audio motion amplitude value and use it as the audio amplitude correction value, and combine the audio amplitude correction value with the audio motion type information to form audio motion correction information; S2727: Calculate the sum between the amplitude deviation adjustment value and the screen motion amplitude value and use it as the screen amplitude correction value, and combine the screen amplitude correction value with the screen motion type information to form screen motion correction information; S2728: The audio motion correction information and the video motion correction information are combined to form audio-visual integrated motion information, and the audio-visual integrated motion information is used as the strongly correlated integrated requirement information.

4. The cinema playback method according to claim 2, characterized in that, Step S277 includes the following steps: S2771: Determine whether there is a correlation between the same type of demand information, the audio single demand information and the video single demand information; S2772: If yes, then the related same type of demand information, the audio single demand information and the screen single demand information are taken as related type information, and the same type of action information, the audio single action information and the screen single action information other than the related type information are taken as the remaining demand information. S2773: Retrieve the correlation category amplitude value based on the correlation category information; S2774: Select the minimum value based on the magnitude value of the correlation category and use it as the comprehensive magnitude value of the correlation category; S2775: The comprehensive magnitude value of the association type is combined with the association type information to form the association type demand information, and the association type demand information is combined with the remaining demand information to form the weak association comprehensive demand information; S2776: If not, then the same type of action information, the audio single action information and the screen single action information are combined to form a single demand comprehensive information, and the single demand comprehensive information is used as the weakly correlated comprehensive demand information.

5. A cinema playback method according to claim 1, characterized in that, It also includes steps following step S27: S281: Retrieve the next video resource information based on the current video resource information; S282: Determine the next runtime requirements based on the next video resource information; S283: Determine the operational requirement change information based on the comprehensive operational requirement information and the next operational requirement information; S284: Based on the aforementioned operational requirement change information, retrieve information on the type of change and the magnitude of the type of change; S285: Retrieve comprehensive requirement type information based on the aforementioned comprehensive operational requirement information; S286: Determine whether the change type information is consistent with the comprehensive demand type information; S287: If yes, then determine the change range adjustment information based on the change range value of the type, and add the change range adjustment information to the demand operation status information for updating and replacement; S288: If not, then determine the baseline value of the change type amplitude based on the change type information; S289: Calculate the difference between the baseline value of the change type amplitude and the change amplitude value of the type, and use it as the change amplitude deviation value; S28A: Determine the change magnitude deviation adjustment information based on the change magnitude deviation value, and combine the change magnitude deviation adjustment information with the change type information and add it to the demand operation status information for updating and replacement.

6. The cinema playback method according to claim 1, characterized in that, Step S4 includes the following steps: S41: Based on the passenger detection information, retrieve the passenger's identity information, passenger's physical detection information, and passenger's location; S42: Calculate the vector distance between the seating position point and the preset viewing reference position point and use it as the seating vector distance value; S43: Determine vector distance reference information based on the aforementioned riding vector distance value; S44: Generate individual baseline information for the person based on the person's identity information and the person's physical detection information; S45: Determine comprehensive benchmark information based on the individual personality benchmark information and the vector distance benchmark information, and use the comprehensive benchmark information as the deviation benchmark information.

7. A cinema playback method according to claim 6, characterized in that, Step S44 includes the following steps: S441: Retrieve the person's age information and medical condition information based on the person's identity information; S442: Determine the age-based heart rate value based on the aforementioned age information; S443: Retrieve heart rate detection values ​​and passenger contact information based on the aforementioned personnel physical detection information; S444: Generate a heart rate adjustment value based on the passenger contact information and the passenger's medical condition information; S445: Calculate the sum between the age-based heart rate value and the riding heart rate adjustment value, and use it as the heart rate correction value; S446: Calculate the difference between the heart rate correction value and the heart rate detection value and use it as the heart rate deviation value; S447: Determine heart rate deviation baseline information based on heart rate deviation value, and use the heart rate deviation baseline information as the individual's personality baseline information.

8. A cinema playback method according to claim 7, characterized in that, Step S444 includes the following steps: S4441: Retrieve the seat contact range and backrest contact height values ​​based on the aforementioned seating contact information; S4442: Determine the sitting posture based on the seat contact range and the backrest contact height value; S4443: Determine the influence value of posture on heart rate based on the described sitting posture; S4444: Determine whether the person's medical condition information is a preset color blindness condition information; S4445: If yes, then determine the heart rate influence value of the screen based on the person's medical condition information and the screen content information; S4446: Calculate the sum between the posture heart rate influence value and the image heart rate influence value and use it as the riding heart rate adjustment value; S4447: If not, then the posture heart rate influence value is used as the riding heart rate adjustment value.

9. A cinema playback system, characterized in that, include: The acquisition module is used to acquire current film resource information, cinema seat operation and detection information, and passenger detection information; A memory for storing a cinema playback method as described in any one of claims 1 to 8; The processor loads and executes programs from memory.

Images