101 results about "Online video" patented technology

The invention discloses an online video content intelligent pushing method combined with a learning interest model. The method comprises the following steps: constructing a dynamic interest vector based on multi-source user behavior data, generating a user interest portrait vector set, and performing interest dimension clustering and weight distribution; generating a video content feature vector set according to a clustering result of the user interest portrait vector set; establishing a multi-dimensional association relationship between the user interest portrait vector set and the video content feature vector set, and outputting a user-video matching confidence matrix; converting the user-video matching confidence coefficient matrix into a push sequence based on a multi-objective optimization strategy and issuing the push sequence; and feedback behaviors of the user on the pushed video are collected in real time to realize closed-loop optimization. The method has the following advantages and effects: accurate perception and deep semantic matching of the dynamic learning interest of the user can be realized, and the accuracy, timeliness and user satisfaction of content distribution are remarkably improved, so that the learning efficiency and experience are optimized.

The invention relates to a weak supervision online video moment positioning method and system based on memory perception, and belongs to the technical field of artificial intelligence, and the method comprises the steps: carrying out the multi-modal feature fusion of a given video and a text query thereof, and obtaining the unified frame level representation at each stage; inputting the fused features into an offline module and an online module in an integral and frame-by-frame manner by using an offline guide online model architecture; in the off-line module, generating a Gaussian mask to reconstruct query of a covered part of words, and obtaining a proposal of an action starting moment; in the on-line module, the long-term historical memory in the window is used for enhancing the score, the attention weight of the score in the window is dynamically generated, and the score of the current frame is calculated in a weighted mode; taking the proposal obtained by the offline module as a pseudo tag, and providing supervision information for the score sequence of the online module; and high-performance weak supervision on-line moment positioning can be completed only by independently deducing the on-line module. The expansion capability and the application value of the model are remarkably improved.

The invention discloses a video conference multi-modal data alignment method and device based on a causal mask, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the feature extraction and fusion of an original audio, an original video stream and an original document in an online video conference, time sequence division is carried out based on the obtained multi-modal fusion features to obtain a triple time sequence window; determining an initial weight value corresponding to the triple time sequence window, and performing normalization adjustment on the initial weight value by using a preset constraint condition to obtain an adjusted weight; indexing a preset time sequence offset matrix by using a speaking identifier of a speaking party, correcting an original time sequence of the triple time sequence window based on an indexing result, and determining a target attention result corresponding to the triple time sequence window by using a preset causal mask mechanism, and performing multi-level alignment fusion on the multi-modal fusion features based on the target attention result to obtain a multi-modal alignment result. The precision of the multi-mode alignment technology is improved, and future information leakage is avoided.

The invention provides an online video instance segmentation method and system based on mask propagation, and the method comprises the following steps: S1, achieving the cross-frame propagation of a target mask through a mask propagation model, obtaining a prediction mask of a current frame, and achieving the correlation of a target through the calculation of the intersection-union ratio of the prediction mask; and S2, performing back propagation on the target by using the mask propagation model so as to complement the missed target mask and enhance the continuity of the track. Objects between different frames are associated on the basis of a mask propagation mechanism and in combination with the intersection-to-union ratio of masks, and meanwhile, in order to relieve the scene that a segmentation model fails to segment shielded objects, non-significant objects and the like, a reverse mask propagation technology is provided to complement the failed frames. The method aims at performing fine segmentation and continuous tracking on various scenes such as intelligent monitoring, automatic driving, augmented reality and video editing on the target in the video, and has wide research and application prospects.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.

The invention provides an interactive digital human presentation method based on a backplane video and a related device, and relates to the technical field of artificial intelligence such as human-computer interaction, digital human, end-cloud integration and large models. The method comprises the following steps: extracting a real-time inquiry from a real-time interaction request initiated by a user for a digital human offline video in a playing state, and sending the real-time inquiry and historical interaction content to a cloud server; the cloud server is controlled to generate reply voice according to the real-time inquiry and historical interaction content and select a target digital person bottom plate video matched with the reply voice from a digital person bottom plate video library, and different digital person bottom plate videos correspond to digital persons showing different actions respectively; controlling the cloud server to generate a digital person online video for answering the real-time inquiry according to the target digital person bottom plate video and the reply voice; and linking and playing the digital human online video stream-pushed by the cloud server in the digital human offline video in the playing state in a manner of inserting the waiting transition video.

The invention provides an interactive digital human presentation method based on air port connection and a related device, and relates to the technical field of computers, in particular to the technical field of man-machine interaction, natural language processing, intelligent robots and other artificial intelligence. The method comprises the following steps: determining a target digital human offline video corresponding to an initial query demand input by a user; in response to the absence of other digital person offline videos matched with the real-time inquiry initiated by the user for the target digital person offline video in the playing state, sending the real-time inquiry, the gas port time data of the target digital person offline video and the historical interaction content to a cloud server; the cloud server is controlled to generate a digital human online video for answering the real-time inquiry and determine a target gas port used for connecting the digital human online video without waiting in the target digital human offline video based on the gas port time data, the real-time inquiry and the historical interaction content; and linking and playing the digital human online video pushed from the cloud server when the target digital human offline video is played to the target gas port. According to the method, high-precision and low-delay man-machine interaction is realized.

The present application relates to a memory-aware based weakly supervised online video moment localization method and system, belonging to the field of artificial intelligence technology, comprising: multi-modal feature fusion on a given video and its text query to obtain unified frame-level representation at each stage; using an offline-guided online model architecture, the fused features are input into the offline and online modules in the form of the whole and frame by frame; in the offline module, a Gaussian mask is generated to reconstruct the hidden part of the query, obtaining the proposal of the action starting moment; in the online module, the long-term historical memory in the window is used for enhancement, and the attention weight in the window is dynamically generated, and the score of the current frame is calculated by weighting; the proposal obtained by the offline module is used as a pseudo label to provide supervision information for the score sequence of the online module; only the online module needs to be inferred separately, and the weakly supervised online moment localization with high performance is completed. The present application significantly improves the expansion capability and application value of the model.

An ad player presents ads in association with a video player by evaluating an associated ad script. The ad player transforms data included in the ad script into operational instructions. Hence, the ad player flexibly and dynamically configures itself and presents ads in accordance with the contents of the ad script, enabling a publisher to modify advertising aspects simply by modifying the ad script. The ad script can comprise a script in a tag-based markup language that is readable by the ad player. For example, the ad script can include one or more tags, each tag including one or more attributes that are each set to a value. The ad player determines the values of the attributes and presents ads in accordance with associated ad characteristics or behaviors.

A method for an online video game or application service system includes running a video game or application on an application host server at a data center, an uncompressed video stream being produced therefrom. The uncompressed video stream is encoded into compressed video stream, which is then transmitted over the Internet to an output client device of a user. The output client device decompresses the compressed video stream and displays live video on a screen. User control input transmitted from an input client device is delivered to the application host server. The user control input includes game or application commands. The input client device is associated with the user and is separate from the output client device. Responsive to receiving the game or application commands, the application host server generates a new uncompressed video stream.

1. Name of the product in this design: Wireless Car Box (CP029-3). 2. Purpose of this design: To enable functions such as mobile phone interconnection and online video through the original car CarPlay channel. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention relates to artificial intelligence understanding and environmental interaction, and in particular to an adaptive time aggregation network and method for online video visual relationship detection. The dynamic buffer memory used in the present invention to store historical video clips can fix the size of the storage content, and the storage content will not become larger and larger due to time. The step sampling strategy adopted by the present invention sets the sampling frequency by the strength of the correlation between the video frame and the current key frame, which can reduce the computational consumption required by the network while maintaining the accuracy of the detection results of the relationship between objects in the video in the time dimension. The adaptive spatiotemporal activation module and the attention-based knowledge state fusion module proposed in the present invention enable the invention to adaptively extract and fuse historical information and current status, and can detect the dynamic and static relationships of objects.

The invention discloses an online audio-video acquisition system and data analysis platform for clinical tests related to central venous catheterization. The online audio-video acquisition system comprises a clinical test announcement module, a test forecast module, an audio-video acquisition module, a data processing module, a key data generation module, a user management module, a user message module and user side software. The video and audio acquisition module and the video and audio storage module are matched for use, so that the test process can be recorded and played online in real time; through cooperative use of the data processing module and the key data generation module, test data can be marked and traced, and all key data needing to be collected are filled into a table; through cooperative use of the user management module, the user message leaving module and the user side software, online consulting, learning and communication of users can be realized, so that the test efficiency is effectively ensured, and questions of peers are prevented from being caused; and meanwhile, the advanced technology can be learned by the peer in real time, and the propagation of the medical technology is accelerated.

The application discloses a wireless charging motion mechanism, a rear handrail box and a car, which comprise a wireless charging assembly, a forward and reverse driving motor, a base, an X-direction transmission mechanism, a Z-direction overturning mechanism and a manual overturning mechanism; the forward and reverse driving motor is fixed at the end of the base, and the forward and reverse driving motor is in transmission connection with the end of the X-direction transmission mechanism; the front end of the X-direction transmission mechanism is pivotally connected with the rear end of the lower surface of the wireless charging assembly, the wireless charging assembly is in sliding connection with the base through the pivot of the X-direction transmission mechanism, and the wireless charging assembly can displace forward and backward along the length direction of the base; one end of the Z-direction overturning mechanism is hinged to the front end of the base, the other end of the Z-direction overturning mechanism is hinged to the middle part of the lower surface of the wireless charging assembly, and the Z-direction overturning mechanism and the X-direction transmission mechanism cooperate to enable the front end of the wireless charging assembly to overturn towards the Z direction; the application can adjust the inclination angle to carry out online video conference; the wireless charging mechanism can also manually rotate by maximum ± 90 DEG, and a mobile phone can be used in a horizontal screen mode.

1. Name of the product in this design: Wireless Car Box (A). 2. Purpose of this design: To enable functions such as mobile phone interconnection and online video through the original vehicle's in-vehicle channel. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

Systems and methods train, using training data, a prediction model by iteratively predicting a target variable value of an engagement event associated with an online video game application, identifying an error between a prediction and the target variable value, and modifying weights of the prediction model for multiple iterations. The training data includes information obtained from the online video game application and a partner computer application that stores resource data of real-world resources to a real-world location and also includes specific data such as a duration of gameplay, a quantity of instances of gameplay, and a quantity of resource transactions of the virtual resource. The trained prediction model is deployed and applied to user data of users to predict attributes of the engagement event that are most likely to cause users to engage with the online video game application within a predefined number of days.

1. The name of the design product: wireless car box (CP031-3). 2. The use of the design product: through the original vehicle channel, realize the function of mobile phone interconnection and online video, etc. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective drawing.

Presented herein are stage user replacement techniques that can be performed to facilitate automatic stage user replacement for one or more stage users of an online video conference. In one example, a computer-implemented method is provided that may include providing, to a particular user interface of a particular participant, a management interface element that enables the particular participant to manage the at least one current stage user displayed in a stage display area for a communication session. Upon receiving at least one user interaction via the management interface element, the method may include automatically: replacing the at least one current stage user with one or more new stage users and synchronizing the stage display area of the particular user interface to be displayed on other stage display areas of other user interfaces of other participants of the session.

Editing a video stream includes detecting defects in an original version of the video stream, marking up the original version of the video stream to indicate one or more segments having at least one of the defects that are detected, and building a compact editable copy of the original version of the video stream that includes editing positions corresponding to the one or more segments and includes abbreviated summaries of other segments of the original video stream that are between the editing positions. Editing a video stream also includes modifying the compact editable copy by editing the one or more segments having at least one of the defects to provide a modified compact editable copy and constructing an edited video by replacing the abbreviated summaries in the modified compact editable copy with corresponding ones of the other segments of the original video stream that are between the editing positions.

In various examples, as a user is speaking or presenting content during an online video conference, the data stream may be processed to generate a textual representation (e.g., transcript) of the audio and / or information relating to the video. The textual representation and / or video related information may then be processed to determine a context or one or more topic(s) of discussion. Based on the determined context / topic(s), a corresponding neural network(s) may be selected. Once a neural network has been selected, comments may be retrieved from a chat feature of the application and applied to the neural network. The neural network may then output data to indicate the relevance of the comments to the determined discussion topic. Based on the relevance of the comment, the comment may be allowed, prioritized, deleted, de-emphasized, or otherwise filtered in the chat feature.

Many conventional advertisements designed for display as part of a web page executed by a web browser are not suitable for display in an online video player that, though included in a web page, is executed by a multimedia platform. Such conventional advertisements are referred to herein as web page advertisements. A system display a web page advertisement in the frame of such an online video player by determining characteristics of the video player in the context of the multimedia platform and converting those characteristics into a context compatible with the web browser. The system can also include a virtual web browser that executes either on the multimedia platform on a server device that is communicatively coupled to the multimedia platform. The system can also include an ad tag translator that executes either on the multimedia platform on a server device that is communicatively coupled to the multimedia platform.

The present disclosure discloses a method, an apparatus, an electronic device and a storage medium for online video editing, including: in response to importing an initial video within a video editing task, receiving a video segment of the initial video which is sent in slice by a cloud, wherein the video segment comprises at least one video frame within the initial video; if not all video segments of the initial video being received, in response to a first editing instruction, presenting a video track segment corresponding to the initial video on the video editing track, and presenting, in a video preview area, a video frame image of a received video segment within the initial video; and in response to a second editing instruction, presenting an identifier of the second editing instruction on the editing track and presenting a target video frame image in the video preview area.

Systems and methods train, using training data, a prediction model by iteratively predicting a target variable value of an engagement event associated with an online video game application, identifying an error between a prediction and the target variable value, and modifying weights of the prediction model for multiple iterations. The training data includes information obtained from the online video game application and a partner computer application that stores resource data of real-world resources to a real-world location and also includes specific data such as a duration of gameplay, a quantity of instances of gameplay, and a quantity of resource transactions of the virtual resource. The trained prediction model is deployed and applied to user data of users to predict attributes of the engagement event that are most likely to cause users to engage with the online video game application within a predefined number of days.

A device operates by receiving prefetch data associated with a video game, wherein the prefetch data includes an amount of first video gaming data to be prefetched that is determined based on performance parameters; executing the video game via the end user device; receiving user input at a user interface associated with controlling movement of a player in a first region of the video game; predicting, based on the movement of the player in the first region, a movement of the player to a second region of the video game; lazy loading second video gaming data and prior to the player entering the region, wherein the lazy loading is adapted based on the performance parameters to a bandwidth that is a predetermined amount less than the connection speed; and continuing executing the video game on the end user device based at least in part on the second video gaming data.

A system, method and apparatus are described for improving video production technology. A video production server receives livestream videos from spectators at live events. The video production server creates video-on-demand presentations based on the livestream video clips. The video production server may also receive natively-created video clips of live events after live events have ended. The natively-created video clips each comprise location, date and time information as metadata. When natively-created video clips are received by the video production server, each clip is associated with a particular, past live event by comparing the location, date and time information of each clip to a database of live events identified by each event's location, date and time. The video production server may then update a particular video-on-demand presentation with an associated natively-created video clip, resulting in an updated video-on-demand presentation using both livestream video clips and natively-created video clips.

1. Name of the product in this design: Wireless Car Box (CP029-6). 2. Purpose of this design: To enable functions such as mobile phone interconnection and online video through the original car's CarPlay channel. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A system and method are described that includes initiating an online video call between a healthcare provider device and a patient device. The method also includes receiving a request to place a phone call, separate from the online video call, from the healthcare provider device to the patient device from within the online video call. The method further includes initiating the phone call between the healthcare provider device and the patient device from within the online video call without disconnecting the healthcare provider device from the online video call.

The application discloses a historical target identification method and system and an end-edge collaborative bounding box filtering method. ReID When facing mass video data, firstly, the time-space transfer characteristics of a track are analyzed to calculate the re-identification value of each frame of each camera. The higher the re-identification value is, the greater the probability of target appearance is. The greater first N frames are taken to perform re-identification, so as to save computing resources. Therefore, as many targets as possible can be identified for the frame pictures with higher re-identification value under limited computing resources. When a new target needs to be searched from an online video picture for analysis, the bounding box of the historical target which has been identified can be deleted, and the bounding box does not need to be transmitted to a computing center for subsequent analysis, so that the bandwidth resources required for transmission and the computing resources of the computing center are saved.

1. The name of the design product: wireless car box (CP030-3). 2. The use of the design product: through the original car carplay channel, realize the function of mobile phone interconnection and online video. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

This invention discloses an intelligent online video content push method combining a learning interest model, comprising the following steps: constructing dynamic interest vectors based on multi-source user behavior data, generating a user interest profile vector set, and performing interest dimension clustering and weight allocation; generating a video content feature vector set based on the clustering results of the user interest profile vector set; establishing a multi-dimensional correlation between the user interest profile vector set and the video content feature vector set, and outputting a user-video matching confidence matrix; transforming the user-video matching confidence matrix into a push sequence and distributing it based on a multi-objective optimization strategy; and collecting user feedback on the pushed videos in real time to achieve closed-loop optimization. This invention has the following advantages and effects: it can achieve accurate perception and deep semantic matching of users' dynamic learning interests, significantly improving the accuracy, timeliness, and user satisfaction of content distribution, thereby optimizing learning efficiency and experience.