16 results about "Video streaming" patented technology

Managing a video conference includes connecting participants of the videoconference to at least one video conferencing server that sends and receives video streams between the participants, detecting non-verbal cues of the participants, using the non-verbal cues to track reactions of the participants to segments of a presentation provided by a speaker and to interactions among participants, determining a health index of the video conference based on the reactions of the participants, and providing to at least a subset of the participants recommendations based on the health index for modifying the video conference. The non-verbal cues may include facial expressions, body language, gestures, postures, and/or eye contact. The interactions among participants may include discussions, agreement, disagreement, interruption, and/or eye-rolling. The recommendations may include asking a participant to provide an opinion on a subject matter being discussed in the video conference. The participant may be an expert.

The invention discloses a video processing method and device, a storage medium and an electronic device. The method comprises the following steps: a first decoder of a target client decoding a received first coded video stream to obtain a second single-sequence video stream, and a second decoder of the target client decoding the received second coded video stream to obtain a second double-sequencevideo stream; the renderer of the target client rendering the video frames in the second single-sequence video stream and the second double-sequence video stream according to the sequence of the timestamps of the video frames in the second single-sequence video stream and the second double-sequence video stream; wherein under the condition that the renderer does not acquire the first video framewithin the first preset duration, the renderer skips rendering of the first video frame, and continues to acquire and render the next video frame of which the timestamp is later than that of the firstvideo frame. According to the invention, the technical problem of video picture lag caused by network jitter is solved.

The invention relates to the field of artificial intelligence, and discloses a video monitoring warning method, device and equipment and a storage medium, and the method comprises the steps: reading avideo monitoring address from a preset data table; sending a connection request according to the video monitoring address to obtain a response result; performing video acquisition and frame extraction according to the successfully connected video monitoring address to obtain an original video stream and at least one video key frame; identifying the at least one video key frame based on a target detection algorithm of deep learning to obtain a coordinate point position of the abnormal information; performing image annotation on the at least one video key frame by adopting the coordinate pointposition of the abnormal information to obtain an annotated video key frame; and transcoding the original video stream corresponding to the marked video key frame according to a preset resolution, a preset video code rate and a preset video transcoding format, and sending warning information. According to the invention, the video monitoring number is expanded by dynamically configuring the video monitoring address, and the cost of video acquisition and monitoring is reduced.

The invention provides a video stream transmission system and method. The system comprises a video coding sending end, a switch and a video decoding receiving end; the video coding sending end, the switch and the video decoding receiving end are in communication connection in sequence; the video coding sending end is used for coding the received video stream into a shallow compressed video streamand a deep compressed video stream, and sending the shallow compressed video stream and the deep compressed video stream to the switch; the switch is used for sending the shallow compressed video stream and the deep compressed video stream to a video decoding receiving end; the video decoding receiving end is used for detecting a network environment and receiving a shallow compressed video streamand/or a deep compressed video stream according to the network environment; the received video stream is decoded. In the mode, the video stream transmission system can automatically transform the deepcompressed video stream and the shallow compressed video stream according to the change of the network environment, the stability of video transmission is improved, and the satisfaction degree of users is improved.

The invention relates to the technical field of public security video identification and prevention management, and discloses a video intelligent identification and information push prevention management system, which comprises an IP camera, a mobile camera, a video edge calculation intelligent identification terminal, a cloud server and an information receiving terminal. The video edge calculation intelligent identification terminal acquires video stream data of an IP camera (mobile camera) through a local area network, the video edge calculation intelligent identification terminal is connected with the cloud server through the local area network, and an information pushing engine module pushes the video stream data to the information receiving terminal of a pushed object in a WeChat, short message and APP transmission mode. Through identity recognition technologies such as video intelligent recognition and the like, classification, real-time early warning and linkage of public safetyhazards are realized through classification confirmation, classification early warning, intelligent propaganda and department linkage (such as police-people linkage) and the like of identities, actions, emotions and the like in a certain area, and a new direction is provided for exploring a grass-roots governance mode of co-construction and co-governance sharing.

The invention discloses a content copyright protection method based on original video data transformation encryption, and the method specifically comprises the steps: carrying out the encryption of geometric structure transformation of original video data contained in a to-be-played file, and generating geometric transformation encryption algorithm description information embedded in the to-be-played file; obtaining a playing address which is sent by a user and corresponds to the to-be-played file; performing validity verification on a player called by the client through a DRM plug-in, and driving the DRM plug-in to obtain a to-be-played file corresponding to the playing address when the verification is passed; and based on the geometric transformation encryption algorithm description information carried by the to-be-played file, performing geometric structure restoration decryption on the to-be-played file through a geometric transformation decryption plug-in carried by the client, and playing the decrypted to-be-played file on the called player. According to the embodiment of the invention, the original video stream of the to-be-played file is subjected to encryption and decryption processing of geometric structure transformation, so that the security of video file propagation is improved.

The invention discloses a safety helmet wearing identification method and system. According to the method provided by the invention, scale division can be performed on the image, and feature point detection is carried out on the basis of scale division to determine a final detection box; therefore, through the method, the wearing identification of a safety helmet can be realized by fully utilizingan existing construction site video stream, and other monitoring equipment does not need to be installed, so the cost is saved; moreover, the algorithm can ensure the stability, robustness and high precision of the result, the accuracy is improved, and the identification efficiency is also improved.

The invention discloses a road-occupying operation monitoring method based on target detection and pedestrian tracking, and the method comprises the following steps: setting the position of a target monitoring region according to a video image obtained by a road monitoring camera, and carrying out the continuous image extraction of an input video stream according to a preset period, using the trained target detector to detect the lane occupying behavior; when the target detector detects that a road occupying behavior exists in the video image, starting to detect people appearing in the video image, and when people are detected, starting pedestrian tracking, and recording each person appearing in the video image and a movement track of each person; and analyzing the pedestrian trajectory data in the video stream, judging whether the pedestrian trajectory data accords with the road-occupying operation behavior characteristics or not, if so, triggering an alarm, and if not, ignoring the road-occupying behavior. According to the invention, by combining the moving track information of the person appearing in the monitoring scene, the road-occupying operation behaviors are automatically and accurately analyzed, researched and judged, temporary lane occupation and road-occupying operation events can be effectively distinguished, and the false alarm rate is reduced.

The invention discloses a parking lot management method and system, a terminal and a computer readable storage medium, and the method comprises the steps: obtaining the real-time video stream data of a parking lot; and analyzing the real-time video stream data, and sending a reminding message to process a preset event when it is determined that the preset event exists in the parking lot. According to the scheme, the parking lot can be comprehensively managed.

The present invention provides a signal measurement method, comprising the following steps of firstly, receiving a resultant signal stream; secondly, detecting the resultant signal stream at a first time point to obtain a first signal value; thirdly, determining the implementation of a color gradation curve measurement for the resultant signal stream according to the first signal value. According the signal measurement method and the system, the instance that the measurement result is not correct because the measurement command and the color gradation video streaming can not be synchronous can be avoided, and the influence due to the delay problem is overcome.

The invention discloses a system for synthesizing VR based on multiple audio and video streams. The system comprises a device sending end, a recording server, a synthesis server, a streaming media server, a console server and a VR viewing end. The device sending end pushes streaming data to the recording server; the recording server receives and caches the streaming data; the synthesis server packages a single video stream and a plurality of audio streams and sends the packaged video streams and the packaged audio streams to the streaming media server; the streaming media server stores the finally synthesized streaming data; a viewing device at the VR viewing end plays the synthesized stream data; and the console server is respectively connected with the recording server, the synthesis server and the streaming media server. The system has the beneficial effect that multiple video streams and multiple audio streams are packaged into a single VR video stream and multiple audio streams.

The invention provides a bus-mounted video passenger OD analysis system, method and device and a storage medium, and belongs to the field of intelligent traffic and computer vision.The method comprises the following steps: encoding and decoding bus video streams in real time through intelligent edge computing equipment; detecting and tracking each passenger appearing in the bus video through a target tracking network; judging the passenger getting-on and getting-off state detected and tracked in the video, and storing and taking the snapshot information of the getting-on and getting-off passenger in the moving process; extracting feature vectors of snapshots of boarding and alighting passengers through a pedestrian re-recognition algorithm, and storing the feature vectors into a database; capturing data such as a bus GPS (Global Positioning System) through intelligent vehicle-mounted equipment, and storing the data into a database; and performing passenger similarity matching and data association through an OD association algorithm, so that the travel OD of the bus passengers is obtained through analysis; The problem that passenger OD analysis is not accurate in an existing bus scene is effectively solved, and the method can be conveniently deployed and transplanted to city-level large-scale application.