31 results about "Video eeg" patented technology

The invention provides a subtitle processing method and device. In a scene in which the electronic equipment plays the video, scene parameters of the scene are obtained, and the scene parameters comprise at least one of personalized data of a user watching the video, equipment data of the electronic equipment and content data of content in the video. And according to the parameter combination acquisition model, acquiring a parameter combination of the subtitles suitable for the scene parameters, the parameter combination comprising at least one of the following: the subtitle style, the position of the subtitles in the video playing interface and the continuous display duration of the subtitles. And displaying the subtitles to be displayed on the video playing interface based on the parameter combination. According to the method and the device, the requirement of a user on the personalized watching effect of the subtitles can be met, the personalized watching habits and experience preferences of the user on the subtitles can be met, the method and the device can adapt to the specification of a screen of hardware equipment of a currently played video, and better and more personalized subtitle watching experience is provided for the user.

Technology is disclosed for programmatically generating interactive content cards (ICCs) for enhancing digital video content. In one implementation, an ICC overlays video content without altering the underlying video, providing viewers with additional, contextually relevant information as the video is viewed. The ICCs may be dynamically presented based on predefined presentation criteria, such as temporal markers, detected events, or recognized objects within the video that correspond to the information in the cards. Upon detecting a viewer's interaction with an ICC, a content window providing supplemental information about the video is presented. The supplemental information is generated using a query to a knowledge base, which may include a search engine or a language model, ensuring that the information is current and relevant.

The application discloses an ADHD multi-feature extraction and fusion classification method based on original videos, and comprises the following steps: S1, a network camera is used to collect video records of a subject watching videos, the videos are preprocessed, and preprocessed image frames are obtained; S2, the preprocessed image frames are analyzed to obtain behavior modes including facial actions, eye movements and head movements; S3, feature components of the behavior modes are extracted and fused; and S4, a deep learning network is constructed to classify the fused features. The application further discloses an ADHD multi-feature extraction and fusion classification system based on original videos. The application classifies ADHD patients based on video sequences, avoids invasive influence, reduces cost and is easy to popularize. Through multi-modal feature fusion, the limitation of single modal data is reduced, better accuracy and effectiveness are achieved, and in addition, the application can also be used for classifying autism cases.

1. The name of the design product: the graphical user interface of the electronic device for inviting people to watch video. 2. The use of the design product: the design product is used for electronic device. 3. The design points of the design product: the graphical user interface in the electronic device is requested to protect the part, wherein the gray single color block is the video content picture. 4. The picture or photo that can best show the design points: the front view. 5. The electronic device is the usual design, and the rear view, the left view, the right view, the top view and the bottom view are omitted. 6. The use of the graphical user interface: the design product is used for inviting nearby people to watch video together in watching video. 7. The human-computer interaction mode of the graphical user interface: clicking the first icon from the left in the upper right corner of the front view can enter the interface change state figure 1 to search for nearby people to watch video, after waiting for the search to end in the interface change state figure 1, the interface change state figure 2 can be entered, and in the interface change state figure 2, selecting "+" on the right side of any person to watch video can enter the interface change state figure 3.

The application discloses a kind of based on data-driven digital person high-quality video generation method and system, it is related to data analysis technical field, including: obtaining historical digital person video, and current target video, extract the feature video in digital person video;Obtain the viewing user of viewing feature video, obtain target user according to the interactive behavior and viewing duration between viewing user and feature video;The behavior of target user is analyzed when watching feature video, and the audience user corresponding to target video is extracted;According to the adjustment record of the parameter value of the interactive parameter in the video changed by audience user, the early warning degree of target video is calculated, and intelligent prompt is carried out.The application obtains the audience user of digital person video by feature video and adjustment record, and the actual characteristics of audience user are intelligently analyzed, effectively generate high-quality, strong attractive video content, improve the viewing experience and satisfaction of user group watching video.

This invention discloses a method for studying visual attention mechanisms based on EEG microstates, comprising: collecting EEG signals from subjects while watching videos and preprocessing them; extracting saliency maps from the videos, and extracting statistical features from the perspectives of spatial saliency information in the local temporal domain and spatiotemporal saliency information changes in the global time series, respectively, to obtain sIQR features and tsIQR features; converting the preprocessed EEG signals into EEG topology map sequences and performing spatial clustering to extract EEG microstate templates, determining the number of templates and selecting the final microstate templates, and then backfitting them to the EEG signals to obtain microstate sequences; extracting microstate features and depth features from the microstate sequences, examining the statistical differences between microstate features and sIQR and tsIQR features, constructing decoding models based on microstate features or depth features, and using the decoding models to decode segments and videos respectively to obtain segment labels and video labels.

The embodiments of the present disclosure relate to a push processing method and apparatus, and a device and a medium. The method comprises: if candidate push objects associated with the current live broadcast video include a second push object, which matches a first push object, displaying push information in a live broadcast interface of the current live broadcast video, wherein the push information is used for prompting that the current live broadcast video includes the second push object associated with the first push object, and the first push object is determined according to historical viewed videos; and if the push information meets a preset trigger condition, displaying, in the live broadcast interface, a push page for the second push object.

The invention relates to a video restoration method and device based on bullet screen feedback, equipment and a medium, and the method comprises the steps: collecting bullet screen data in a video playing process, and recognizing feedback data used for feeding back a video quality problem from the bullet screen data, the feedback data comprising a bullet screen text and bullet screen time; determining a problem type and a problem severity degree of a video quality problem according to the bullet screen text, and determining a problem region of the video quality problem according to the bullet screen text and the bullet screen time; and determining a repair strategy according to the question type and the question severity, and performing video repair on the question region according to the repair strategy. Through a bullet screen semantic recognition mechanism, subjective feedback information of a user on image quality in a video watching process is converted into quantifiable quality problem description, information mapping from subjective perception to objective restoration is realized, and the problem that faults exist between subjective quality feedback of the user and an objective video restoration technology during video restoration is solved.

The present invention relates to a method for screening mobile terminal visual attention abnormalities in children based on multimodal data learning. A calibration video and a testing video are set up, and a head-face video of children while watching the calibration video and the testing video on smartphones is recorded, respectively. An eye-tracking estimation model is constructed to predict the fixation point location from the head-face video corresponding to the testing video frame by frame and to extract the eye-tracking features. Facial expression features and head posture features are extracted. A Long Short-Term Memory (LSTM) network is used to fuse different modal features and realize the mapping from multimodal features to category labels. In the testing stage, the head-face video of children to be classified while watching the videos on smartphones is recorded, and the features are extracted and input into the post-training model to determine whether they are abnormal.

The invention relates to a language learning system, which comprises a learning system, a video player and a foreign language video material, and is characterized in that the output end of the learning system is electrically connected with the video player, and the foreign language video material is in data connection with the learning system and the video player through a data memory. By adopting the translation algorithm module and the subtitle display module, an English learning program is highly simplified, English learning becomes closer to a native language learning process, information of a foreign language video material is decomposed, extracted, translated and combined, a learner can comprehensively and accurately learn the foreign language video material, and meanwhile, the learning efficiency is improved. The translated subtitle information is transmitted to the video player in real time to be displayed, so that a learner can view the translated subtitle information while watching the video, and the learning efficiency and effect are improved.

The embodiment of the invention discloses a video playing method, a video generating method and related devices, and the video playing method comprises the steps: responding to an interaction participation operation triggered for a target video, and playing the target video comprising interaction elements; the target video is a video recorded by a video production user based on an interactive video template, the interactive video template is used for indicating a display style of an interactive element in the video and a trigger action corresponding to the interactive element, and the interactive element is a virtual element configured with an erasable event; in the process of playing the target video, in response to an effective elimination operation triggered for the interactive element displayed in the target video, displaying an elimination effect corresponding to the interactive element; the effective elimination operation means that the touch position of the playing interface of the target video is located in an elimination area corresponding to the interactive element. According to the method, a strong sense of participation can be generated in the video watching process of the user, and the video watching experience of the user is improved.

The invention discloses an electroencephalogram signal enhanced intelligent video abstraction method and system, relates to the technical field of video content understanding and electroencephalogram emotion analysis, and aims to solve the technical problems that in the prior art, video abstraction cannot reflect subjective emotion experience of viewers, electroencephalogram and video time axes are difficult to align, and heterogeneous data are difficult to fuse. Acquiring an electroencephalogram signal of a viewer in a video watching process, synchronizing the electroencephalogram signal with a video clip, and extracting and generating a structured video abstract based on multi-modal content; frequency domain features, time domain features, time frequency features and spatial correlation features are obtained according to the electroencephalogram signals, and electroencephalogram feature visual representation is generated; and fusing the video content abstract, the video key event timestamp and the electroencephalogram feature visual representation, deducing the emotional state and aligning the emotional state with the video event, and outputting a personalized video abstract reflecting the real emotional experience of a viewer. The method can be used for application scenes such as intelligent video abstraction, video platform recommendation, immersive content understanding and emotion calculation.

The utility model discloses a fire safety four-ability training demonstration device, which relates to the technical field of fire training and comprises a mounting plate, a transverse moving assembly, a display screen, a controller and a plurality of sensors, the transverse moving assembly and the controller are arranged on the back of the mounting plate, the display screen is detachably arranged on the transverse moving assembly, and the sensors are arranged on the display screen. The multiple sensors are arranged on the back face of the mounting plate at intervals and located on one side of the transverse moving assembly, and the transverse moving assembly, the display screen and the multiple sensors are all electrically connected with the controller. According to the utility model, the display screen is driven by the transverse moving assembly to carry out segmented fixed-point demonstration on four capabilities of fire safety, basic contents of the four capabilities of fire safety are briefly displayed in a video mode, the form is novel, the eyeballs of employees can be attracted, the watching interest is improved, the memory is deepened in the video watching process, and the visual effect is improved. And the mastering degree of four capabilities of fire safety is enhanced.

The invention relates to a digital human interaction method, device and system based on a video stream and electronic equipment. The method comprises the following steps: performing visual feature analysis processing on continuous video frames of a video stream, and determining a target spatial position of a digital human embedded in the video stream; performing time domain feature analysis and / or scene switching detection on the continuous video frames, and determining a target time point of the digital human embedded in the video stream; generating a to-be-embedded digital human based on the action detection result and the scene classification result of the continuous video frames, and embedding the to-be-embedded digital human into the video stream based on the target spatial position and the target time point; acquiring a video frame associated with the user behavior data from the video stream; and based on the user behavior data and the video frame associated with the user behavior data, generating corresponding digital human interaction content and transmitting the digital human interaction content to the digital human embedded in the video stream, and executing an interaction operation by the digital human. According to the invention, real-time interaction between the digital person and the audience can be realized, so that the audience can instantly interact with the digital person while watching the video.

The present invention provides an EEG emotion recognition method based on an attention-based spatiotemporal network, comprising the following steps: S1, obtaining EEG data and label data of a subject watching a video clip; S2, data preprocessing, including downsampling, removing baseline signals, removing eye contact signals and physiological artifacts of blinking, and bandpass filtering to retain EEG signals between 4.0 and 45.0 Hz to divide the data; S3, constructing a spatiotemporal convolutional neural network model based on kernel attention; S4, training the neural network model, adjusting parameters, and obtaining classification results for EEG emotion recognition; S5, using a set evaluation index, taking the SVM model as the baseline, and comparing it with multiple deep neural network models to verify the effectiveness of the kernel attention-based spatiotemporal network model. The present invention has a high recognition accuracy, can enable machines to effectively recognize and understand human emotions, and makes human-computer interaction more user-friendly, and has strong application value in the field of human-computer interaction.

The application discloses a content generation method, device, storage medium and program product. First, in response to a video playing instruction of target video content, a historical viewing breakpoint moment of the target video content is determined, and viewed video content before the historical viewing breakpoint moment in the target video content is determined. Then, semantic information including a plot script and / or a key frame of the viewed video content is extracted. Finally, a plot abstract of the viewed video content is generated according to the semantic information. Thus, the plot abstract of the viewed video content is generated by using the semantic information of the viewed video content before the historical viewing breakpoint moment in the target video content, so that the user can quickly review the historical video content that has been played and viewed according to the plot abstract at a current viewing starting moment, thereby making it easier for the user to connect the plot of a long video, improving the possibility of breakpoint continuation playing of the long video, and finally improving the completion rate of the long video.

The invention provides a subtitle generation method and device, electronic equipment and a storage medium, and relates to the technical field of computers, in particular to the technical fields of artificial intelligence, natural language processing, signal processing, software engineering, interactive design and the like. The specific implementation scheme comprises the steps of determining a target video; segmenting the audio data of the target video to obtain a plurality of target audio clips; according to a concurrent processing mechanism, performing voice recognition on the plurality of target audio segments to obtain a plurality of text segments; wherein the plurality of text segments are in one-to-one correspondence with the plurality of target audio segments; and translating the plurality of text segments to obtain a target subtitle text. By adopting the method and the device, human resources can be saved, and the generation period of the target subtitle text can be shortened, so that the requirement of acquiring subtitles in real time when a user watches a video in real time is met.

The application discloses a prediction method and device, a training method and device, and an electronic device, and belongs to the field of artificial intelligence. The prediction method comprises the following steps: generating input features based on video data features of a target video and behavior data features of a user watching the video within a preset time period; inputting the input features into an embedding layer to convert the input features into embedding vectors; inputting the embedding vectors into an intermediate layer to obtain N fusion feature vectors based on the embedding vectors; inputting the N fusion feature vectors into a tower layer to obtain a first prediction value of a first play parameter and a second prediction value of the first play parameter based on a first fusion feature vector, and to obtain a third prediction value of a second play parameter based on a second fusion feature vector; and inputting the first prediction value, the second prediction value and the third prediction value into an output layer to determine a prediction value of the first play parameter based on the first prediction value via the output layer, and to determine a prediction value of the second play parameter based on the second prediction value and the third prediction value.

The invention relates to a video recommendation method and system based on user preference rapid locking, and the method comprises the steps: collecting video watching historical data of a user regularly, constructing a user preference model based on the video watching historical data, and carrying out the training optimization of the user preference model through a preset learning algorithm; based on a preset video similarity identification model, identifying videos of which the similarity with the historically watched videos of the user is lower than a preset threshold value; generating a recommended video by using the user preference model after real-time training optimization, generating a video recommendation list according to the recommended video and an identification result of the video similarity identification model, and displaying video contents in the video recommendation list to the user; and when video feedback data of the video content displayed in the video recommendation list by the user is obtained, training and optimizing a user preference model by using the video feedback data. On the basis of ensuring the recommendation accuracy, the recommendation diversity is effectively improved, and the potential interest of the user is actively explored.

A video content analysis system according to a scene reaction of video content according to one embodiment of the present invention comprises: a video processing unit which divides video content into a plurality of scenes and classifies each of the divided scenes for each preset reaction; an information collection unit for collecting biometric data of a viewer reacting while the video content is reproduced to the viewer; a reaction analysis unit for analyzing a reaction for each scene from the biometric data collected by the information collection unit; and a scene analysis unit for comparing and analyzing the reaction classified by the video processing unit and the reaction with respect to the biometric data analyzed by the reaction analysis unit for each scene.

The embodiment of the invention provides an interactive text generation method and device, electronic equipment and a readable storage medium, a first generation strategy set is pre-configured, and a first generation strategy in the first generation strategy set is used for guiding a large language model to generate one or more interactive texts according to source data of one or more specified data source types. And generating an interactive text adopting the specified form rule. The method comprises the steps of selecting one or more first generation strategies from a first generation strategy set for a target video, selecting a data source type specified by the first generation strategy from a video source data set for each first generation strategy, constructing a cue word according to the data source type, and inputting the constructed cue word into a large language model to obtain an interactive text, and publishing the obtained interactive text to an interactive text display area of the video. According to the embodiment of the invention, diversified interaction texts can be generated for the video, the interaction area atmosphere of the video can be activated, and the user experience during video watching is improved.

The embodiment of the invention discloses a video transmission method and device, electronic equipment and a medium, and relates to the technical field of videos, the method is executed by a video playing platform, and one specific embodiment of the method comprises the following steps: determining a to-be-encrypted video clip and a directional access member in an original video uploaded by a first user; a key management unit and an access permission key are obtained by combining a communication identifier and a biological feature of a directional access member, the access permission key is stored in the key management unit after the to-be-encrypted video clip is encrypted by using the access permission key, and when a second user initiates a connection request to a first user, the access permission key is stored in the key management unit. And the video playing platform determines a viewable video clip of the second user and transmits the viewable video clip by using the access permission key in the key management unit. In the process, the first user does not need to issue a decryption key offline, so that the burden of the first user on key management and video operation is relieved, and the risk of key loss is also avoided.

The embodiment of the invention discloses a video recommendation method and device, electronic equipment and a medium, and relates to the technical field of computers, and one specific implementation mode of the method comprises the steps of obtaining user video watching data in a first preset time period; based on user watching data of a first video in the user video watching data, determining whether the video type of the first video is a hot video; when the video type of the first video is a hot video, sampling and pairing processing is carried out on a watching user set in the user watching data to obtain a watching user pair, and a similarity score between the first video and the second video is determined based on a watching video set of the watching user pair; and based on the similarity score, obtaining candidate recommended videos from a video library, and generating video recommendation information by using the candidate recommended videos. The efficient landing of the recall algorithm under the scene of millions of users and millions of video candidate sets is realized, and the real-time performance and reliability of video recommendation are improved.

The utility model belongs to the technical field of medical auxiliary appliances, and particularly relates to an integrated magnetic video electroencephalogram electrode wire quick fixing device which comprises a positioning plate and a plurality of electrode wires, a fixing cap is arranged on the positioning plate, each electrode wire comprises a wire and an electrode connected with the wire, and the fixing cap is arranged on the positioning plate. The multiple wires penetrate through the positioning plate, the outer walls of the ends, close to the electrodes, of the wires are sleeved with elastic strips, the ends, away from the electrodes, of the elastic strips are connected with the positioning plate, the positioning plate is placed above the head, then the positioning plate is pressed downwards, and at the moment, the elastic strips move along with the positioning plate, so that the electrodes are located on multiple detection points; when the fixing cap is in contact with each detection point, the fixing cap is sleeved on the head to fix the positions of the plurality of electrodes at the same time, and when the fixing cap needs to be disassembled, the fixing sleeve is turned outwards, and the fixing cap and the plurality of electrodes are taken down together, so that convenience is brought to the work of medical personnel.

1. The name of this design product: hand rest for learning and training notebook. 2. Purpose of this product design: This study book is used for watching videos for learning or manipulating the screen for practice. The palm rest of the study and exercise book is used to provide a position for the user to hold the study and exercise book. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design. 6. Other circumstances that require explanation: The portion covered by the pink mask is defined as the portion that does not require protection.

The invention provides an objective quantitative detection method and system for emotional value, which relates to the field of short video recommendation and quality evaluation, and is characterized by comprising a physiological data acquisition system, a data processing and analysis system and a guide feedback system. The physiological data collection system collects face videos and image data when a person watches the videos through a camera, expressions, emotions and gender labels are inferred through a trained deep learning model, physiological data are collected through a single-chip microcomputer and a heart rate and blood oxygen sensor, human eye key point coordinates are collected through an algorithm of a dlib machine learning library, and the blinking frequency is calculated. The data processing and analysis system performs feature fusion on the multi-modal data, analyzes and maps the multi-modal data into an emotional state type and an emotional activity, quantifies the immersion when watching the video, and quantifies the emotional value provided by the short video; a feedback system is guided to send quantized emotion value data to a short video cloud platform, and as a method for evaluating the quality of the short video, a short video recommendation scheme of the platform is optimized, and short video recommendation is carried out to a user terminal in a personalized manner to help to adjust the emotion of a user.

The invention provides a game level trial playing method. The game level trial playing method comprises the following steps: displaying pass-through videos of a plurality of players on a graphical user interface; in response to a selection operation on the customs clearance video of the target player, displaying a customs clearance video sub-interface, the customs clearance video sub-interface comprising the customs clearance video of the target player, a video progress bar and a test play control; in response to a first touch operation acting on the video progress bar, determining a trial play fragment of the customs clearance video; and in response to a second touch operation acting on the trial play control, starting a trial play process according to the trial play fragment. Through the method provided by the embodiment of the invention, the problem of low learning efficiency caused by the fact that only videos can be watched and actual operation cannot be performed in a traditional game is solved, the learning cost is reduced through the segmented trial playing function, and the game operation skills and game experience of a user are improved.

[Problem] To provide: an intra-video space calibration system that performs calibration processing relating to a mutual positional relationship and video timing so that deviations in position and time do not occur between users viewing video relating to XR via viewing devices; a user assistance system in which AI provides related information on the basis of acquired information; and a display function in which AI superimposes and arranges content related to real-world objects. [Solution] The present invention comprises: a viewing device that is worn by a user and enables the user to view the video; and a current information acquisition device that recognizes current defining information of each user wearing the viewing device. The viewing device is configured to include: a display means that displays video; a calibration means that calibrates position information and time information in a space constituted by video of each user; and an information holding means that holds each of the calibrated user position information in the space constituted by video, the position information and the time information at which content is displayed, video, and the like.

The present invention relates to Smart E-Learning system using adaptive video lecture delivery based on attentiveness of the viewer. The attentiveness of the viewer is increased, who is watching a video lecture (204) in an E-learning scenario where viewer's attentiveness score (205) is captured based on facial expressions, cognitive responses etc. The video content (209) are changed dynamically to increase the attentiveness of the viewer in real time without viewer's knowledge. To change content segments, next segment predictor (206) has prior knowledge of the main video with its break points and supporting videos (207). It (206) uses viewer's attentiveness (210) and selects the next segment (209) which is played for the viewer, before proceeding with the main content. Incremental Learning with AI / MML techniques are used for next segment prediction. The feedback of attentiveness score after content segment change is used by the Next Segment Predictor (206) for further learning process.