883 results about "Live streaming" patented technology

The invention relates to the technical field of live broadcast behavior monitoring, in particular to a live broadcast behavior tracking system based on deep learning, which obtains high-quality multi-source information and improves the accuracy of feature analysis by synchronously extracting image and audio data from a live broadcast video stream and combining frame extraction, image enhancement and voice recognition. According to the method, image features are extracted through a pre-trained convolutional neural network, audio features are extracted through a deep learning model, voice transliteration texts are fused, the weight of each modal feature is dynamically adjusted based on an attention mechanism, precise recognition of complex scenes and hidden violation behaviors is achieved, and image camouflage and latent language expression risks are effectively coped with. And the illegal type and confidence are output in real time, once suspected illegal behaviors are detected, alarm, interruption or shielding operation is triggered immediately, and related evidences are uploaded to an auditing database. And efficient, accurate and full-process management and control of the live broadcast violation behaviors are realized.

The invention relates to a multi-mode real-time compliance auditing method and system for an investment adviser live broadcast industry. According to the system, audio and video frames and texts in a live broadcast stream are analyzed in real time by fusing artificial intelligence technologies such as audio and video processing, voice recognition, natural language processing and image recognition, and potential illegal contents are recognized. The system adopts a sliding window audio slicing mechanism, so that the accuracy of speech recognition and the continuity of semantic analysis are improved; hidden violation contents can be recognized by combining a semantic recognition technology of BERT model fine tuning. In addition, the system supports automatic marking and backtracking of violation contents, and meets the compliance mark leaving requirements in the financial field. According to the method, the compliance auditing efficiency and accuracy of the live broadcast of the investment adviser are remarkably improved, the deployment cost is reduced, the method is suitable for investment adviser scenes such as securities, funds and insurance, and powerful support is provided for real-time risk control and compliance management.

According to embodiments of the disclosure, a method, an apparatus, a device and a storage medium for live streaming interface interaction are provided. The method includes receiving a predetermined request for a live streaming interface, the live streaming interface providing, in real time, an audio-visual content associated with a target session established in a live streaming room; causing a target interface corresponding to the predetermined request to be presented; and superimposing, on the target interface, a window associated with the live streaming interface, the window at least displaying description information associated with at least one participant in the target session. In this way, with embodiments of the disclosure, it may present relevant information of a target session (e.g., voice chat or video chat) established in the live streaming room that the user is interested in, thereby improving efficiency of the user in obtaining information in the live streaming room.

Systems and methods that enable different users to obtain different outcomes in association with the same game streamed by a live streaming platform.

The invention discloses an AI-driven convergence media digital audio and video content security auditing method, which comprises the following steps: acquiring audio and video contents published by a platform and user information of a publisher in real time, the audio and video contents comprising live streaming, video files, audio files and image-text contents; feature extraction is carried out on the video file, the text data, the video data and the audio data, and then fusion and vectorization processing are carried out to obtain a comprehensive feature vector; and inputting the comprehensive feature vector into an AI model for detection, determining whether illegal content exists or not, and processing according to a detection result. The AI technology is introduced, intelligent auditing of various modal contents such as videos, audios and images and texts is achieved, the auditing efficiency and accuracy are improved, meanwhile, the auditing strategy is dynamically adjusted according to different scenes and user behaviors, the diversified content auditing requirements of the convergence media platform are met, and the safety and compliance of digital audio and video contents are ensured.

The present application relates to a geographic mosaicking method and apparatus for video images, and a computer device and a storage medium. The method comprises: acquiring real-time live streaming images of a real-world scene that are collected by a plurality of unmanned aerial vehicles, and GNSS information of the plurality of unmanned aerial vehicles; using a visual SLAM algorithm to perform input frame tracking on the real-time live streaming images, and performing pose estimation on successfully tracked input frames by combining visual trajectories and the GNSS information, so as to generate georeferenced camera poses; using the camera poses and a surface reconstruction algorithm to perform densification processing on the input frames, so as to generate a depth map of the real-world scene, and mapping the depth map into dense three-dimensional point clouds, so as to construct a three-dimensional surface model of the real-world scene; and using the camera pose and the three-dimensional surface model to perform orthorectification on the input frames, and integrating the orthorectified input frames into a global mosaicked map, so as to generate a global image of the real-world scene. By means of the embodiments of the present application, a real-time picture of a real-world scene can be quickly acquired, thereby providing robust support for a rapid emergency response in a real-world scene.

New and improved interfaces for the live streaming of content by a content creator are provided. In a preferred embodiment the interface comprises a first area for displaying a live streaming video; a second area for displaying a live chat simultaneously with the live streaming video and a third area for displaying a plurality of advertisement opportunities simultaneously with the live streaming video and the live chat wherein each advertisement opportunity in the plurality of advertisement opportunities includes a script that can be read by the content creator during the live streaming video.

Systems and methods that synchronize the presentation of events on a client device with events occurring on a streaming device and being streamed to the client device by a live streaming platform.

The invention provides a voice, picture and subtitle alignment method and system for real-time voice translation synthesis, and relates to the technical field of voice processing. According to the method, millisecond alignment of translated voice and video is realized through fragment-level parallel processing, compared with a traditional scheme, the delay is greatly reduced, and the problem that translated voice pictures are asynchronous during live broadcast is solved; the method comprises the following steps: automatically generating real-time voice translation according to live broadcast content, and respectively processing to obtain a corresponding srt file and a translated m3u8 fragment; therefore, there is no need to manually translate and generate subtitles in advance, and there is no need to replace the audio of the original video in advance, thereby saving the manpower cost, and providing a more universal live broadcast stream subtitle scheme. Besides, when the languages are switched, the player can automatically select the starting time point, so that the method supports multiple playing modes such as online live broadcast and live broadcast playback.

The invention relates to a digital human live broadcast method and system. The method comprises the following steps: acquiring a live broadcast room visual effect picture and a digital human live broadcast audio; generating digital human live broadcast content under the driving of the digital human live broadcast audio by taking the visual effect picture of the live broadcast room as a visual manuscript through an I2V model; in the process of playing the digital human live broadcast content, if the current interaction behavior of the user in the live broadcast room is monitored, generating digital human interaction content responding to the current interaction behavior; selecting an insertion frame from the key frames of the digital human live broadcast content so as to insert the digital human interaction content at the position of the insertion frame; the key frame is a video frame corresponding to a statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the contradiction between long content production period, high implementation cost and slow real-time interaction feedback in digital human live broadcast in related technologies can be solved.

Systems and methods that determine whether a progressive award triggering event occurred in association with a live stream including at least a portion of a play of a wagering game occurring at a streaming device in communication with a live streaming platform server. Responsive to the determination being that the progressive award triggering event occurred in association with the live stream, for each of a plurality of client devices displaying the live stream based on data received from the live streaming platform server, the systems and methods determine whether that client device qualifies as an eligible client device. For each of any determined eligible client devices, the systems and methods cause at least a portion of a progressive award maintained in association with at least the plurality of client devices to be made available to that client device.

A method for processing media data includes identifying in a media presentation description (MPD) an indication of a Tuning-In Media Segment. The Tuning-In Media Segment comprises a latest media data for a client device to start with when tuning into an ongoing live streaming service. The latest media data is selected from either a current media segment that is being generated by the ongoing live streaming service or a previous media segment generated by the ongoing live streaming service based on a length of the current media segment. The MPD is stored by the client device prior to the client device tuning into the ongoing live streaming service. The method further includes performing a conversion between a visual media data and a bitstream according to the MPD.

SOLUTION: In a live streaming system, a server performs a function of receiving instructions to use a gift to a streamer from a user before the streamer's live streaming, and a function of causing an output unit to output effects and points corresponding to the user's use of the gift while the streamer is in the live streaming.EFFECT: User experience may be improved, because options for a viewer to support a live streamer can be increased and further the live streamer may feel surprise and joy when he / she receives a scheduled gift during live streaming.SELECTED DRAWING: Figure 17

Embodiments of the present disclosure provide an adaptive adjustment method and apparatus for a congestion window, a device and a medium. The adaptive adjustment method for a congestion window comprises: when the current acknowledgement frame is received, determining data packet transmission information corresponding to the current acknowledgement frame; determining target adjustment information of the current congestion window on the basis of the data packet transmission information and at least one preset congestion window adjustment strategy; and adjusting window information of the current congestion window on the basis of the target adjustment information so as to control, on the basis of the adjusted window information, the number of data packets in the current congestion window or the number of bytes in a data packet to be transmitted. According to the technical solution of the embodiments of the present disclosure, congestion windows are adaptively and dynamically adjusted, improving the stability and real-time performance of the throughput of the congestion windows, thus achieving the effects of ensuring both the live streaming image quality and the live streaming real-time performance in live streaming scenarios.

The invention relates to a real-time video stream quality analysis and adaptive control method based on AI driving, and belongs to the technical field of artificial intelligence and video stream transmission. The method comprises the following steps: receiving a real-time video stream from a server through client equipment, and the real-time video stream comprises a dynamic adaptive streaming media and a live broadcast stream; analyzing the video stream and network conditions according to the video stream in combination with a network monitoring tool to extract video features; inputting the extracted features into a machine model based on a neural network to generate quality evaluation including network conditions, video parameters and annotations; determining whether to switch to video representation forms with different bit rates or not by analyzing a quality evaluation result; and when the switching is determined, a request for updating the playing representation form is sent to the server, so that the artificial intelligence technology is realized to optimize the video quality, reduce buffering and improve the user experience, and the method is suitable for a real-time streaming media scene.

A server receives and rebroadcasts live streaming video content from a video capture device, such as a mobile phone or unmanned surveillance vehicle. The server includes a media server configured to stream selected video content to a client device, a video analysis system configured to analyze the live video content and generate object detection data, a storage system configured to store the generated object detection data and an identifier of the associated live video content, and a search engine configured to receive a text-based search request, search the object detection data stored in the storage system for relevant search results, and generate a list of live and stored video content associated with the relevant search results.

The invention provides a live broadcast code rate adaptive switching method and device, a live broadcast server and a readable storage medium. The method comprises the following steps: collecting multi-dimensional context state information at a current moment in a live broadcast playing process; wherein the multi-dimensional context state information at least comprises network state parameters, equipment performance parameters, video content characteristics and user behavior characteristics; constructing a multi-dimensional feature vector by using the multi-dimensional context state information; performing importance evaluation on each feature dimension in the multi-dimensional feature vector by a code rate prediction model, and predicting the optimal code rate at the next moment; and if the optimal code rate is different from the current code rate, switching the current code rate to the optimal code rate at the next moment, otherwise, not processing. The predicted code rate can cope with sudden network changes, and then the lagging rate and the number of manual switching times of a user are reduced.

Embodiments of the disclosure relate to a method, an apparatus, a device, and a medium for displaying information. The method includes: in response to a reply display operation on first target comment information, obtaining reply information of the first target comment information, the first target comment information being sent by a viewer client of a live streaming room; determining question and reply information based on the first target comment information and the reply information; and displaying the question and reply information on a live streaming interface of the live streaming room. Therefore, relevant comment information and corresponding reply information on a live streaming interface are displayed, which not only improves the reply efficiency but also allows viewing users to intuitively obtain related information, while avoiding redundancy in the display of comment information caused by viewing users sending a large amount of repetitive comment information.

A live streaming platform server that, responsive to a determination to place, in association with a client device, a wager on a play of a wagering game displayed by a streaming device, receives, from a first remote game server operating with the streaming device, first data determined by the first remote game server. Responsive to a validation of the first data received from the first remote game server operating with the streaming device, the live streaming platform server communicates the first data to a second remote game server operating with the client device. Responsive to a receipt, from the second remote game server operating with the client device, of second data determined by the second remote game server and based, at least in part, on the first data received from the first remote game server, the live streaming platform server communicates the second data to the client device.

The present application provides a live stream video processing method, apparatus, electronic device, and storage medium. The method comprises: obtaining video stream data for a live stream; generating target object area data according to the video stream data; and adding the target object area data to the video stream data and sending the video stream data, so that bullet comments can be rendered and displayed outside an area occupied by a target object in a live streaming process.

The invention provides a method and a system for intelligently sensing and associating multimedia contents in live broadcast of sports events. Original video data are obtained, and color adjustment parameters are generated to complete color space conversion in combination with light reflection characteristics of different camera positions and site illumination color temperature changes. And dynamically adjusting the division priority of the coding blocks according to the instantaneous speed and texture complexity of the moving object, and carrying out adaptive compensation on coding quality parameters based on brightness distribution of a bright region. Code stream distribution is regulated and controlled by a color component weight proportion through bidirectional data interaction, and finally a processed picture is associated with an audio time sequence, a motion track and a multi-camera space coordinate to form a live broadcast content transmission sequence. According to the technical scheme provided by the invention, dynamic color optimization and coding efficiency improvement are realized, and synchronous enhancement of live broadcast streaming media image quality and transmission stability under a high motion image is ensured.

A method for managing a stream in a live streaming platform includes receiving a video clip from a first user terminal of a first user, inputting the video clip into a first machine learning model S506, generating a first virtual character, displaying the first virtual character in a live streaming room, receiving comments from the live streaming room, generating a response to the comment through the first machine learning model, and displaying the response in the live streaming room through the first virtual character. [Effect] Communication between viewers and AI virtual characters is improved, and the quality of the live streaming platform featuring AI virtual characters is improved, resulting in a better user experience.

To provide a server, a method and a computer program in live streaming.SOLUTION: Sending, by the live streamer, a PK invitation to another live streamer, the PK invitation indicating that two or more live streamers compete for a specific period of time, determining, by the another live streamer, whether to accept the invitation from the live streamer, and obtaining, by the server, the streaming data such as the thumbnails of the two live streamers from a stream or the like when the server is notified of PK establishment; Context data is obtained from a context DB or the like, a thumbnail is generated for a live streaming room, the thumbnail is cut into a plurality of pieces based on a quantity of live streaming rooms or the like and distributed to a corresponding live streamer, and the thumbnail is replaced with an original one when interaction ends.SELECTED DRAWING: Figure 16

The invention discloses a teaching live broadcast control method, a teaching live broadcast control system, a teaching live broadcast control medium and teaching live broadcast control equipment based on multi-protocol signal flow scheduling, a multi-protocol signal source is adaptively accessed, a protocol analysis plug-in is correspondingly loaded to analyze a protocol, and different types of heterogeneous flows are converted into standardized data flows. Extracting stream features, and performing scene recognition; and dynamically adjusting the bandwidth allocation strategy based on the network state and the terminal capability. And on the basis of the multi-target reinforcement learning model, generating an optimal strategy of bandwidth allocation for live broadcast stream pushing and local distribution requirements. Stream transcoding and format conversion are carried out, and multi-signal stream timestamps are dynamically calibrated and synchronized; based on a Transform model, multi-modal content matching is carried out, knowledge chain marks are generated, and finally terminal output is carried out. The method has the advantages of full-scene protocol compatibility, dynamic scene adaptive scheduling, intelligent resource dynamic allocation, high-precision time synchronization calibration and content intelligent association matching.

In various examples, techniques for optimizing object detection models are described herein. Systems and methods are disclosed that process sensor data using a backbone of a machine learning model(s) in order to generate feature maps at different resolutions. The systems and methods then use the machine learning model(s) to generate a vector based at least in part on one or more of the feature maps. For example, if the backbone generates four feature maps, then the machine learning model(s) may generate the vector using two feature maps from the four feature maps. The systems and methods then process the vector using a transformer of the machine learning model(s) in order to generate data representing a class label(s) for an object(s) depicted by an image represented by the sensor data and / or a location(s) of the object(s) within the image.

A remote game server that determines data associated with a play of a wagering game displayed by a streaming device in communication with a live streaming platform server, and communicates the data to the streaming device. Additionally and independent of the live streaming platform server, the remote game server communicates the data to another remote game server operating with a client device in communication with the live streaming platform server.

Embodiments of the present disclosure disclose a media content generation method and apparatus, a device, and a storage medium. The method includes: obtaining initial text information input by a first user for a target live streaming channel; obtaining information associated with a target live streaming event in the target live streaming channel based on the initial text information; and generating target media content based on the information associated with the target live streaming event in response to a preset operation of the first user, where the target media content includes at least one of image content and video content related to the information associated with the target live streaming event.

The present invention relates to methods and systems for dynamically rendering interactive elements in a live broadcast. The method performed by an application server includes identifying chroma key areas in a live broadcast created by a creator and streamed to users via a live streaming interactive platform. The method includes obtaining an interactive element to be displayed in the chroma key areas based on user inputs from the creator and the users in the live streaming interactive platform, and live broadcast data. Further, the method includes rendering at least a portion of the interactive element in the chroma key areas based on an image fusion technique. The method includes rendering the live broadcast of the creator to the users upon post-processing of the interactive element, thereby enabling the users to view the interactive element rendered in the chroma key areas of the live broadcast.

Systems and methods are described for transcoding at least a portion of a live media asset ingested from a media content source. The systems and methods may be configured to, in real time, after ingesting the at least a portion of the live media asset, determine parameters of the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, determine, based on the parameters, a plurality of optimal bitrate-resolution pairs for the at least a portion of the live media asset. The systems and methods may be further configured to, in real time, after ingesting the at least a portion of the live media asset, cause the at least a portion of the live media asset to be transcoded based on the plurality of optimal bitrate-resolution pairs.

The invention discloses an e-commerce live broadcast data drainage management optimization method and system based on big data, and relates to the technical field of live broadcast data management, and the method comprises the following steps: obtaining a user click behavior sequence, and carrying out the track matching of the sequence through employing a DTW algorithm, and obtaining a first abnormal traffic set; constructing a user feature matrix based on the first abnormal traffic set, and performing screening according to a clustering algorithm to obtain a second abnormal traffic set; constructing a graph model based on the second abnormal traffic set, and analyzing user ip region jump by using a Louvain algorithm to obtain a volume brushing community mark list; constructing a user conversion path set, and calculating a first probability value of each path based on the quantity brushing community mark list; screening the advertisement putting flow according to the first probability value to obtain an optimized drainage decision instruction; the problem of false traffic interference in existing live broadcast drainage management is solved, and the advertisement putting effect can be optimized.