23 results about "Multimedia object" patented technology

In multimedia object tracking and merging of tracked objects, an object is tracked through frames of multimedia content until a frame appears in which the tracked object is not detected. A first track is designated as one or more consecutive frames in which the tracked object is detected, the first track ending at the first frame. Tracking continues to try to detect the tracked object in a second frame subsequent to the first frame. If the tracked object is not again detected, information about the first track is output. If the tracked object is detected subsequently, a second track of consecutive tracked object detection is designated. The tracked objects in the two tracks are then compared with the aid of trained data models, and a matching score is determined to reflect the degree of match. If the matching score meets or exceeds a first threshold, the compared tracks are merged using the same identifier assigned to both tracks. If the matching score does not exceed a second threshold that is less than the first threshold, the tracks may be discarded as showing no match. If the matching score falls between the first and second thresholds, an indication is output for further analysis of the compared tracked objects.

A method, non-transitory computer-readable storage medium and system is disclosed for using context-based dictionaries to search through multimedia data using input that specifies tags, words, phrases, descriptions, environments, emotions, sentiments, multimedia objects or content, or other relevant attributes. The system retrieves original content, analyzes and processes it, and presents to the user synchronized multimedia content and text content that is automatically tagged for searching. The system creates dictionaries containing word definitions and information that have been customized according to context; in addition, the system creates textual and non-linguistic attributes that enable and enhance searching functions; moreover, it enables modification of the dictionary entries as well as its searching functions through a feedback loop that may include input from human users and artificial intelligence programs; furthermore, the system may be used to create or modify a linguistic or a multimedia instantiation of a story.

This invention discloses a method and apparatus for adding multimedia objects, a storage medium, and an electronic device. The method includes: acquiring target voice information, wherein the target voice information carries an instruction for identifying a multimedia object corresponding to a sound in the environment of a first application system; responding to the target voice information, identifying a target multimedia object matching the sound in the target environment; acquiring a second account corresponding to a first account logged into the first application system in a second application system; and adding the target multimedia object to a target multimedia object list, wherein the target multimedia object list is a list of multimedia objects created for the second account on the second application system. This technical solution solves the problem of high complexity in the process of adding multimedia information in related technologies.

The application discloses an object information determination method, device, equipment, storage medium and product, and belongs to the computer technical field.The method comprises the steps of obtaining attribute allocation information corresponding to a target object; determining a multimedia object corresponding to the target object based on the attribute allocation information; obtaining attribute feature information corresponding to the multimedia object; and updating the attribute allocation information according to the attribute feature information to obtain updated attribute allocation information.The technical scheme provided in the application embodiment can determine the associated multimedia object through the attribute allocation information capable of representing the attribute identification allocation situation of the target object, can update the attribute allocation information according to the attribute feature information corresponding to the multimedia object, and the updated attribute allocation information is more in line with the real attributes of the target object, thereby improving the accuracy and authenticity of the attribute allocation information, and improving the information quantity and accuracy of the feature information of the target object without using personalized features.

The embodiment of the application provides a multimedia object hotness determination method, medium and equipment, the method comprises the following steps: obtaining the access log and content data of a multimedia object, then determining the time behavior hotness representing the activity degree of the multimedia object in the time dimension according to the access log, and determining the semantic feature hotness representing the importance degree of the multimedia object in the semantic dimension according to the content data; and obtaining the comprehensive hotness of the multimedia object by fusing the time behavior hotness and the semantic feature hotness. That is, the comprehensive hotness of the multimedia object is obtained by fusing the dual features of the time dimension and the semantic dimension, and the determination accuracy of the multimedia object hotness is improved.

The embodiment of the invention provides a data processing method and related equipment, and the method comprises the steps: obtaining a probability matrix obtained by a data generation model in a multimedia data generation process, and enabling the probability matrix to comprise a probability set corresponding to each multimedia object in to-be-generated multimedia data, the probability set comprises probabilities of N candidate objects corresponding to the multimedia object; n is a positive integer; updating a probability matrix according to the obtained disturbance key to obtain a probability update matrix, the probability update matrix comprising a probability update set of each multimedia object, the candidate object corresponding to the maximum update probability in the probability update set of each multimedia object is the same as the candidate object corresponding to the maximum probability in the probability set of the corresponding multimedia object; and generating multimedia data according to the probability updating matrix and the N candidate objects of each multimedia object. According to the embodiment of the invention, copyright protection can be better realized for the generated multimedia data.

The present application discloses a content recommendation method, apparatus, device, storage medium and product, which are applied to a first recommendation system and belong to the field of artificial intelligence technology. The above method includes: obtaining an external signal corresponding to a multimedia object, the above external signal is the result obtained by predicting the recommendation information of the above multimedia object based on the content recommendation data in at least one second recommendation system, and any of the above second recommendation systems is a recommendation system different from the above first recommendation system; extracting modal information of at least one dimension of the above multimedia object to obtain modal feature information corresponding to the above multimedia object; determining the recommendation strategy of the above multimedia object based on the above external signal and the above modal feature information; and recommending the above multimedia object based on the above recommendation strategy. In the technical solution provided in the embodiment of the present application, the recommendation effect can be significantly improved by introducing external signals.

The embodiments of the present disclosure provide a traffic support method, device, medium and computing equipment, the method comprising: sorting each content in a first content pool by using a sorting rule tree, the sorting rule tree being constructed by a plurality of sorting rules, the content comprising a multimedia object and / or live content; and distributing traffic of each content based on the sorting of each content. In the present disclosure, the content in the content pool is sorted by the sorting rule tree constructed by the plurality of sorting rules, and then the traffic of each sorted content is distributed, without relying on the code of the backend to implement the traffic support of the content. Even if the content in the content pool is more, the fine traffic support of the content can be realized, and the traffic support accuracy of the content is improved.

An electronic device may include: a display module for displaying a screen and receiving a user input; a memory in which computer-executable instructions are stored; and a processor for accessing the memory and executing the instructions. The processor / instructions may be configured to: overlay, with a counterpart screen displayed on the screen as the center, a polygon-shaped 3D grid including a plurality of virtual planes, if a user input for a multimedia object is received through the display module during a video call; and transmit, to a counterpart terminal, location information about a selected plane in response to the user input for the plane in which the multimedia object is to be located from among the plurality of planes, and at least some pieces of data on the multimedia object. Other various embodiments are possible.

The application discloses an attribution index determination method and device, equipment and a storage medium, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and Internet of Vehicles, and the method comprises the steps of determining a target multimedia service index of a multimedia object in a preset period; obtaining at least two multimedia association indexes corresponding to the target multimedia service index; constructing an index logical tree based on the target multimedia service index and the at least two multimedia association indexes; determining a target node based on the association indexes between each parent node and the corresponding child node in the index logical tree; the association indexes represent the influence degree of the corresponding child node on each parent node; and determining the target multimedia association index represented by the target node as the attribution index of the target multimedia service index. The application realizes quick and accurate determination of the attribution index of the target multimedia service index.

The present invention provides a method for determining and organizing multimedia content of a network page, related to reactions of at least one user to at least one common content object or context. The method comprising the steps of: receiving plurality of comments originated by different users relating one or more common multimedia object, wherein the user is required to define characteristics of their comment from multiple choice of definition types, enabling users to react to said comment by selecting one type of reaction from multiple choice of reaction types, wherein the each reaction type define different characteristics of the comment, analyzing comment characteristics as defined by the originator user and / or by reaction type; and selecting and organizing of comments and / or content objects which are related to the comments and / or and the relevant reactions according to the said analysis.

Embodiments of the present disclosure provide a multimedia object sharing method, a multimedia object sharing apparatus, an electronic device, and a storage medium, wherein the method includes: displaying a multimedia list creation page, in response to a trigger operation for multimedia list creation, to edit associated content corresponding to a multimedia list to be shared in the multimedia list creation page; displaying an information editing page to determine a target sharing user and a target shared object in the multimedia list to be shared based on a trigger operation on the information editing page; and sharing the multimedia list to be shared to the target sharing user.

The present application discloses a label determination method, apparatus, device, storage medium and product, which belongs to the field of artificial intelligence technology. The method includes: obtaining a first multimedia object and feature information corresponding to the first multimedia object; performing label recall processing according to the feature information to obtain a label recall result; obtaining a candidate label set based on the second semantic label; and determining the target candidate label in the candidate label set that meets the preset conditions as the first semantic label corresponding to the first multimedia object. In the technical solution provided by the embodiment of the present application, label recall is performed through the feature information of the multimedia object, and high-order semantic labels corresponding to similar multimedia objects can be found and used as candidate labels. Then, high-order semantic labels of multimedia objects can be selected from them according to preset conditions, and high-order semantic labels are determined by semantic text information associated with multimedia information publishing objects, which can accurately reflect semantic information and improve the accuracy of information labels.

The present application discloses a multimedia object recall method, apparatus, device, storage medium and product, which belongs to the field of computer technology. The method comprises: obtaining multimedia object request information corresponding to a target object; performing a first recall process based on the multimedia object request information to obtain at least two multimedia objects; obtaining resource consumption deviation information corresponding to at least two multimedia objects; performing a second recall process based on the resource consumption deviation information to obtain a target multimedia object. The technical solution provided by the embodiment of the present application preliminarily recalls multimedia objects through the request of the target object and obtains its corresponding resource consumption deviation information, and then determines the degree of deviation between the actual consumption resources of the multimedia object and the target consumption resources to reflect its display effect, and further recalls it based on this to obtain the target multimedia object, which can effectively improve the recall volume and recall efficiency of multimedia objects without using the personalized characteristics of the target object.

The embodiment of the invention provides a model training method, a recommendation explanation information generation method and related equipment, and the method comprises the steps: obtaining a plurality of groups of training data, each group of training data comprising sample access behavior characteristics of a sample user, sample interaction behavior characteristics, sample metadata characteristics of a sample multimedia object, and label recommendation explanation information; according to the sample access behavior features, the sample interaction behavior features and the sample metadata features, generating a sample joint feature vector and a sample preference matching degree, and constructing a training guide language which is at least encoded with the sample preference matching degree; inputting the sample joint feature vector and the training guide language into an initial language model, and outputting sample recommendation interpretation information; and according to difference characteristics of the sample recommendation interpretation information and the label recommendation interpretation information, adjusting model parameters of the initial language model until the initial language model after the model parameters are adjusted meets a preset convergence condition, and obtaining a condition generation language model.

The embodiment of the disclosure provides an interaction method based on multimedia objects, apparatus, electronic device and a storage medium. The method includes: displaying user identification information of at least one target user in a display interface; the target user is a user who posts a target multimedia object; determining a display mode of a target multimedia object corresponding to a triggered user identification information based on a triggering operation on the user identification information and a posting state of a current user; and displaying the target multimedia object based on the display mode.

Apparatuses, systems, architectures, and methods for summarizing multimedia objects with a primary narrative are described. Methods and processes can include performing data analysis to identify scene-relevant sentiments indicated in scenes of the multimedia object; generating a knowledge graph that associates each scene in the scenes with a respective one or more scene-relevant sentiments; computing a plurality of scores using the knowledge graph, each score indicating a relative importance of one of the plurality of scenes to conveying the primary narrative; selecting a subset of the plurality of scenes according to the plurality of scores; and / or generating a summary of the multimedia object according to the subset.

The method, medium, device and computing device for generating a virtual carrier provided by the embodiments of the present disclosure display a text object on an original effect in response to an input operation of the first text object on the original effect, and / or display a first multimedia object on a production page in response to an adding operation of the first multimedia object on the production page during the production process of the virtual carrier; and generate a virtual carrier corresponding to a target multimedia object based on the text object and / or the first multimedia object, a preset effect, the original effect and the target multimedia object. In the embodiments of the present disclosure, the user is provided with the function of generating the virtual carrier of the target multimedia object, which can improve the interest of the multimedia platform, provide new interactive experience for the user, in addition, the user can trigger the original effect to input the text object based on the original effect, thereby bringing more surprise and freshness to the user, improving the user experience and increasing the user stickiness of the platform.

The present invention provides a method for determining and organizing multimedia content of a network page, related to reactions of at least one user to at least one common content object or context. The method comprising the steps of: receiving plurality of comments originated by different users relating one or more common multimedia object, wherein the user is required to define characteristics of their comment from multiple choice of definition types, enabling users to react to said comment by selecting one type of reaction from multiple choice of reaction types, wherein the each reaction type define different characteristics of the comment, analyzing comment characteristics as defined by the originator user and / or by reaction type; and selecting and organizing of comments and / or content objects which are related to the comments and / or and the relevant reactions according to the said analysis.

The application discloses a multimedia object subscription processing method, device and electronic equipment. The method comprises the following steps: obtaining a generation instruction for generating a multimedia object on a server, the generation instruction being triggered based on a client subscription event; screening an object template required for generating the multimedia object; obtaining custom data provided by the client for the subscription event; and performing assembly and rendering processing on the target template and the custom data of the client, so as to finally obtain a target multimedia object required by the client and feed back to the client. The client only needs to subscribe by one key, and the required multimedia object can be automatically generated by means of the subscription service of the server. Therefore, the multimedia object production time of the client user is saved, the production process is reduced, and the production efficiency is improved.

Embodiments of the present invention relate to an information prompting method, an information prompting device, a storage medium, and an electronic device, and relate to the field of information processing technology. The method comprises: obtaining multimedia objects from a multimedia object list, extracting features related to the multimedia objects; determining a target multimedia object based on the features related to the multimedia objects; extracting features related to segments of the target multimedia objects; determining a target segment based on the features related to the segments; and providing an information prompt for the target segment. The present invention can enhance the conversion effect of information prompts.

A method, non-transitory computer-readable storage medium and system is disclosed for using context-based dictionaries to search through multimedia data using input that specifies tags, words, phrases, descriptions, environments, emotions, sentiments, multimedia objects or content, or other relevant attributes. The system retrieves original content, analyzes and processes it, and presents to the user synchronized multimedia content and text content that is automatically tagged for searching. The system creates dictionaries containing word definitions and information that have been customized according to context; in addition, the system creates textual and non-linguistic attributes that enable and enhance searching functions; moreover, it enables modification of the dictionary entries as well as its searching functions through a feedback loop that may include input from human users and artificial intelligence programs; furthermore, the system may be used to create or modify a linguistic or a multimedia instantiation of a story.

The present disclosure provides a multi-label labeling method and device, a storage medium, an electronic device and a program product. The method comprises: obtaining a multimedia object to be labeled and a preset label library; determining a candidate label set from the preset label library based on the semantic similarity between the multimedia object and each label in the preset label library by using a first multi-modal model; obtaining a content analysis result by content analysis of the multimedia object by using a second multi-modal model, and determining at least one target label from the candidate label set as the labeling result of the multimedia object based on the associated degree between the result and each label in the candidate label set. By introducing the candidate mechanism, the label recall rate of the multimedia object is improved, and by using the two-stage collaborative labeling method, the multi-label recall accuracy and accuracy of the multimedia object are improved.