365 results about "Media server" patented technology

The invention provides an unmanned aerial vehicle real-time road condition monitoring method and system and a medium, the method relates to the field of image data processing, and the system comprises an unmanned aerial vehicle which comprises an image acquisition device and a sensor group and is used for acquiring aerial videos and flight parameters of the unmanned aerial vehicle in real time; the streaming media server is used for receiving and storing the aerial video transmitted by the unmanned aerial vehicle; analyzing the video stream into a frame-by-frame image sequence with aligned timestamps; performing target detection on each frame of image, and identifying a target vehicle by using a pre-trained deep learning model; carrying out target tracking on the target vehicle in the continuous frames based on an intersection-to-union ratio matching and trajectory prediction algorithm, and constructing a target motion trajectory; and calculating the displacement distance of the target vehicle in the image based on an optical flow method, feature point matching and a deep learning algorithm, and estimating the actual running speed of the vehicle in combination with the flight parameters of the unmanned aerial vehicle. According to the system, computer vision and sensor technologies are combined, and accurate speed measurement is realized through target detection, tracking and speed estimation.

A media server uses selective just-in-time (“JIT”) transcoding of media such as video. For example, the media server determines a measure of complexity of a given segment of a given media sequence. The given segment has been encoded at a base bit rate. The media server evaluates a complexity condition for the given segment. As part of evaluating the complexity condition, the media server compares the measure of complexity to a complexity threshold. Based at least in part on whether the complexity condition is satisfied, the media server selects between use of preemptive transcoding and use of JIT transcoding for the given segment at a given target bit rate. In this way, the media server can selectively incur the cost of preemptive transcoding operations for the given segment if JIT transcoding would likely introduce unacceptable delay, and the media server can otherwise use JIT transcoding operations for the given segment.

Systems and techniques are described for signing and verifying a data stream with an encryption signature. An example method includes determining, for a data block group, an initialization vector. The example method also includes generating, based at least in part on the data block group, encrypted hash data. The example method also includes determining an encryption signature based at least in part on the encrypted hash data, a private key, and the initialization vector. The example method also includes inserting the encryption signature into the data block group. The example method also includes causing transmission, by a network interface to a media server, of the data block group and the encryption signature. Finally, the example method includes causing verification, via the media server using a public key and synchronized data, that the data block group was generated by the computing device.

The invention belongs to the field of image communication, and particularly relates to a streaming media hardware acceleration transmission system based on a credit creation server, which comprises a hardware part and a software part, and is characterized in that the hardware part comprises a basic platform which adopts a domestic credit creation server as a hardware basis to ensure the autonomous controllability and safety of the system; in the encryption acceleration step, a data acceleration card is deployed, hardware acceleration is carried out aiming at a national cryptographic encryption algorithm, and the acceleration card processes computation-intensive tasks such as encryption and decryption so as to reduce the burden of a CPU (Central Processing Unit); in the software application step, streaming media processing software and encryption and decryption application software are operated on a credential server to ensure that data processing and storage are carried out on an autonomous and controllable platform; the software part comprises an application layer and an adaptation layer, the application layer comprises a streaming media server and CDN software, and the adaptation layer is divided into static adaptation and dynamic adaptation. According to the system and the method, the safety, the speed and the efficiency of streaming media transmission are remarkably improved, the CPU processing burden is reduced, and the overall performance and the reliability of the system are enhanced.

The invention discloses a multi-model fusion target vehicle identification analysis method and system based on machine vision, and the method comprises the steps: A, capturing and collecting a road vehicle video / image through an unmanned plane, and transmitting the video / image to a streaming media server in a wireless manner; b, an improved target vehicle detection model is adopted, a multi-task cooperative detection framework is constructed, and vehicle illegal parking is judged by applying a multi-model fusion detection mechanism; c, designing a lightweight detection network, reducing the problems of high reasoning delay and large resource occupation in the multi-model cooperative detection process, and reducing the complexity of a detection algorithm; and D, carrying out intelligent alarm and event pushing. According to the invention, the method can improve the recognition accuracy of vehicle illegal parking behaviors in a complex scene, and improves the real-time performance and stability of a single-model monitoring system for vehicle target detection.

A method including receiving a request to establish a multi-player session for users to enable participation in a metaverse. The method including determining whether an application generating the metaverse is installed on local devices of the users selected for participation in the metaverse by the users. The method including launching a corresponding local instance of the application when the application is installed on a corresponding local device. The method including launching a corresponding cloud instance of the application on a cloud based streaming server when the application is not installed on the corresponding local device. The method including determining that each instance of the application for the users has been launched, wherein each instance for the users is a local instance or a cloud instance. The method including enabling a start of the multi-player session when the instances of the application for the users has been launched.

The invention discloses a vehicle target detection system and method based on multi-channel unmanned aerial vehicle video streams, and the system comprises a multi-channel video frame obtaining module which obtains the addresses of the multi-channel unmanned aerial vehicle video streams from a streaming media server, and obtains the respective video frame from each video stream; the improved algorithm network module is used for reading and detecting each path of video by starting different threads, and a partial convolutional layer, a bidirectional feature pyramid network and a focusing modulation network module are used for an algorithm network, so that an algorithm model supports lightweight processing; the data set training model module is used for carrying out model training by utilizing the public data set and carrying out enhancement operation on the data; and the target detection and recognition module is used for performing real-time recognition and detection on each frame of image of the multiple paths of video streams by utilizing a trained target detection algorithm, and drawing the detected vehicle target information on the current frame of image for marking. According to the invention, the detection precision and stability of the to-be-detected target under the high-altitude view angle can be effectively improved.

The invention discloses a digital-intelligent converged communication method and system based on artificial intelligence. An SIP application module sets conference priorities for conferences borne by an edge media server; the digital intelligent control module obtains a preset number of low-priority conferences with high resource occupation density and low-priority conferences with few participants; the digital intelligent control module collects performance parameters of the edge media server in real time; obtaining a load prediction condition of the edge media server by using the trained prediction model; and dynamically adjusting a media stream distribution mode according to the load prediction condition. According to the method, the load of the edge media server is predicted, the media stream distribution mode is flexibly selected according to the priority of the conference, the number of participants and the load prediction condition, and the requirement of a user for video communication is met.

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 discloses an advertisement user portrait generation method and device based on a deep neural network, equipment and a medium, and the method comprises the steps: obtaining user feature data of a target user, the user feature data comprises static feature data and dynamic feature data, the static feature data is obtained through a business server, and the dynamic feature data is obtained through a business server; the dynamic feature data is obtained through a media server; determining at least one prediction classification type corresponding to the target user based on the at least one conversion target of the target user; and inputting the user feature data into an improved deep neural network, performing user portrait prediction according to the prediction classification type to obtain a user portrait corresponding to the target user, and generating a user portrait label by using the improved deep neural network, thereby effectively improving accuracy and reliability of user portrait prediction.

The invention discloses a video decoding method, device and equipment and a storage medium, and relates to the field of video analysis, and the method comprises the steps: locally installing a target component corresponding to a media processing software platform based on a coding and decoding library of the media processing software platform, adding an executable command corresponding to the media processing software platform to a preset environment variable based on the target component; receiving a data stream address of the to-be-decoded data through the video stream processing function, and calling an executable command in a preset environment variable so as to execute a corresponding stream pulling operation according to the data stream address through the streaming media server to obtain the to-be-decoded data; and decoding the to-be-decoded data by using a preset decoding interface of the media processing software platform, and executing a corresponding video processing task based on a target video obtained after decoding. The efficient hardware decoding capability is provided through the coding and decoding library of the media processing software platform of the hardware decoding chip, the computing resources can be effectively released, and the energy consumption of the chip is reduced.

The invention relates to the technical field of video monitoring, and provides an intelligent code rate control method for the field of indoor video monitoring, which comprises the following steps: S1, a camera continuously collects video streams of an indoor monitoring scene and pushes the video streams to a streaming media server; s2, decoding the received video stream data to obtain YUV format data, preprocessing the YUV format data, inputting the preprocessed YUV format data into a personnel dynamic detection model based on a deep learning algorithm, and identifying and outputting the motion state of indoor personnel; s3, a constant code rate factor CRF value of an encoder is adjusted in real time based on the personnel dynamic detection result, a low CRF value is adopted in a static scene to reduce the code rate, and the CRF value is adjusted in a graded mode according to the personnel number and the motion intense degree in a dynamic scene to improve the code rate; s4, writing the latest calculated constant code rate factor CRF value into an encoder, and performing intelligent decoding on the video stream data; and S5, carrying out storage or network transmission. And dynamically updating the constant code rate factor CRF value of the encoder according to the model detection result, thereby achieving the effect of balancing the code rate and the image quality.

The invention relates to the technical field of video processing, and particularly discloses an Android mobile terminal video cache optimization method and system. The method comprises the following steps: establishing a webSocket connection between a streaming media data receiving end and a streaming media server, and storing received data into a Linked Block Queue queue by using a data analysis thread; firstly writing queue data into a temporary memory display cache in real time, and then storing the analyzed data into a mobile terminal disk according to a queue sequence; a reading thread reads and analyzes the audio and video data in sequence and distributes the audio and video data to a corresponding decoder, and the decoded data is presented by a renderer; according to the invention, by optimizing data processing, cache management and a play control mechanism, the stable play speed of the end side, continuous play when the network is not good, play without interruption at the server end and accurate and synchronous audio and picture are ensured, so that the video play performance of the mobile end is improved, and smooth, stable and high-quality watching experience is provided for a user.

A method for detecting fuel fraud when refueling a vehicle at a filling station comprises obtaining, in conjunction with a current refueling operation in which the vehicle is refueled at the filling station, current refueling information (66), determining if there is a mismatch between the obtained current refueling information (66) and historical refueling information (74) which is based on a plurality of past refueling operations in which comparable vehicles were refueled, and raising a potential fraud warning (80) based at least in part on a determined mismatch. The current refueling information comprises at least: first information (70.1) indicating a distance the vehicle (30) traveled since at least a previous refueling operation, second information (70.2) indicating a duration and / or progress of the current refueling operation, and third information (70.3) indicating an amount of fuel dispensed by a fuel pump (12) in the current refueling operation. One or more machine-readable media, a server installation (28) and a system are adapted to perform corresponding operations or cause corresponding operations to be performed.

A video playback method and system, a device, and a storage medium. The method comprises: in response to receiving a video playback request, determining a key frame position of a currently cached video frame and an original playback parameter, wherein the original playback parameter is determined on the basis of a configured frame rate; on the basis of the key frame position, adjusting the original playback parameter to obtain a target playback parameter; on the basis of the target playback parameter, generating a target code stream for the cached video frame; and sending the target code stream to a streaming media server, so that a player side pulls the target code stream from the streaming media server, and on the basis of the target playback parameter, performs decoding and playback. The present disclosure can reduce a video playback delay, solve the problem of slow loading at an initial period of playback and improve the user experience.

The invention relates to a live broadcast picture transmission system for unmanned aerial vehicle pull line construction, which is characterized in that high-definition video data shot by an unmanned aerial vehicle is spread through a 5G mobile base station and a cloud streaming media server under the challenge of complex terrains and weather conditions; an operation interface of the unmanned aerial vehicle and an operation interface of the take-up winch are integrated on a video live broadcast picture, so that the take-up process of the traction rope can be better monitored and controlled; the position coordinates of the traction rope in the same coordinate system are calculated through a catenary equation and the initial position coordinates of the traction rope between the unmanned aerial vehicle and the power tower, so that the unmanned aerial vehicle can be aligned with the traction rope all the time in the flight take-up process according to the preset path, and the unmanned aerial vehicle can be conveniently taken up. The high efficiency and safety of the traction rope recovery process are ensured; the traction rope can be continuously tracked when the traction rope is blown to be deflected by strong wind; according to the method, the alignment mode of the camera can be automatically switched for two scenes of flying to the power tower and crossing the power tower, and accurate operation during power tower crossing is ensured.

The invention relates to an intelligent decision-making system and method based on 5g new communication. The intelligent decision-making system comprises a new call service processor module, a core network, a calling terminal, a called terminal, a new call service processor module, a new call media server, an intelligent decision-making module, a new call service database, a service management interface and a short message notification interface. The method has the beneficial effects that the intelligent new call service decision-making module is additionally arranged in the scheme, the module is connected with the core network and processes the new call service, and network mode matching and decision-making can be performed according to different scenes, so that a proper mode playing strategy is realized, the normal function of a new call is guaranteed, and the user experience is improved.

To provide a technology to make user experience richer by using a text and image transmission function.SOLUTION: A streaming server 1100 distributes a content including at least a video provided by a providing user to a user terminal of each viewing user. The user terminal of each viewing user includes a content display part for displaying the content, and a viewing screen capable of executing a transmission operation during viewing is displayed. In the streaming server 1100, a support point calculation part 213 calculates support points related to the content at least on the basis of the transmission operation. When an event generation condition including a condition at least based on the transmission operation is satisfied, an event control part 225 generates an event in which larger support points can be calculated when the event is generated than when the event is not generated for the same transmission operation.SELECTED DRAWING: Figure 9

A media server proxy switches streaming media protocols (“SMPs”) during streaming of media segments. The media server proxy receives a request, from a playback tool, according to a first SMP to provide information about outgoing media segments of a media sequence. The media server proxy generates the information about outgoing media segments and sends the information to the playback tool. The media server proxy also retrieves, from a remote server, incoming media content for the media sequence according to a second SMP different than the first SMP. The media server proxy assembles outgoing media segments based at least in part on the incoming media content. The media server proxy streams, to the playback tool, outgoing media segments according to the first SMP. In this way, the media server proxy can deliver media segments at very low latency, even when the first SMP typically has much higher latency.

The invention relates to a frame extraction method and system for a streaming media monitoring video, and the method comprises the steps: a streaming media server receives a frame extraction request sent by a third-party platform, obtains and analyzes a monitoring video stream according to the frame extraction request, carries out the frame extraction of the monitoring video stream according to the frame extraction parameter of the frame extraction request, and carries out the frame extraction of the monitoring video stream; and storing the obtained target binary video frame data to a data cache queue so as to consume and obtain the target binary video frame data from the data cache queue, and performing compression decoding on the target binary video frame data according to an output format of a third-party platform, and returning the compressed and decoded target binary video frame data to the third-party platform. Therefore, the frame extraction logic is embedded in the streaming media server, one-time analysis and multi-time multiplexing are achieved, resource loss is reduced, the resource utilization rate is increased, the response time is shortened by using the data cache queue, and the stability and expandability of the system are maintained.

A computerized-method for detecting market sentiment manipulation that is related to financial-instruments trading. The computerized-method includes: (i) monitoring incoming alerts in an analytics-engine. (ii) retrieving data from each alert, by operating a context-extraction module; (iii) for each alert: a. collecting feeds from social-media servers based on the retrieved data by operating a social-media feeds-extraction module; b. for each feed, generating a summary by using Gen AI; and c. analyzing a social-media sentiment by providing the generated summary of each feed to the Gen-AI; (iv) for each financial instrument that has been traded in the preconfigured period, searching an anomaly between a sentiment from traditional news source and the analyzed social-media sentiment; (v) storing each anomaly in an anomalies database; and (vi) pausing each financial-transaction that has been processed and related to the financial-instrument in the anomalies database.

The invention discloses a buffer adaptive adjustment method and system for audio and video synchronization. The method comprises the following steps: calculating a delay value of each media data source to a media server in each time period; all delay values of each media data source in the current time period are extracted from the data table to determine the maximum delay reference value and the delay standard deviation of each media data source in the current time period, so that the smoothing coefficient of each media data source in the current time period is obtained; setting a first time window and a second time window, extracting all delay values of each media data source in the first time window and the second time window from the data table so as to determine maximum delay reference values of the media data source in the first time window and the second time window, and predicting maximum delay prediction values of the media data sources in the next time period; the buffer size of each media data source is adjusted. The invention relates to the technical field of computers, and can realize self-adaptive adjustment of the size of a media buffer area in a delay violent fluctuation scene, and shorten network delay while ensuring audio and video synchronous experience.

According to the video equipment terminal intercommunication system based on the SIP protocol and the non-SIP protocol provided by the invention, when a calling user is off-hook to initiate a call, an SIP terminal proxy can send an Invite request to an SIP proxy server; the SIP proxy server can search a non-SIP terminal proxy bound with the called extension and channel information, and sends the channel information to the streaming media server; sending the channel information to the streaming media server, so that the streaming media server creates SDP information of a non-SIP terminal proxy according to the channel information, and returning the SDP information to the SIP proxy server, so that the SIP proxy server forwards the SDP information to the SIP terminal proxy; and after receiving the SDP information, the SIP terminal agent can send ACK information to the SIP agent server for confirmation so as to establish communication connection with a non-SIP terminal agent and then start a call. According to the process, the flexibility and compatibility of communication can be effectively improved, and the communication efficiency is improved.

The invention relates to a video stream processing method and device, computer equipment and a readable storage medium. The method comprises the following steps: under the condition that a streaming media server establishes communication connection with a camera, analyzing a video packet in a video stream transmitted by the camera to obtain video stream information; determining an abnormal identifier for the video stream according to the video stream information, and determining a processing measure corresponding to the video stream according to the abnormal identifier; and executing the processing measures to obtain a processed video stream, and analyzing the processed video stream to play the processed video stream. By adopting the method, the abnormity can be analyzed and the corresponding processing measure can be determined in the process of analyzing the video stream, so that the video can be successfully played after the processing measure is executed, the condition of video stream analysis failure is avoided, and the reliability of video transmission is improved.

The embodiments of the present invention disclose a method, device, electronic device and storage medium for transmitting a media stream. The method comprises: determining the number of connections of a media stream; when the number of connections of the media stream is greater than a predetermined multiple of the maximum number of media connections of a single media server, determining the total transmission delay of the media stream in a transmission network including the media server; when the total transmission delay is greater than a predetermined threshold value, enabling the media servers in the transmission network that participate in transmitting the media stream to abandon backup processing for the media stream. The embodiments of the present invention ensure the real-time performance of the media stream and improve the transmission quality. Moreover, the embodiments of the present invention also propose a transmission network topology structure that is scalable and can be flexibly deployed for different business scenarios, thereby achieving a compromise between the real-time performance and reliability of the media stream.

A media stream transmission method includes: a first media server obtaining cluster load information according to an SDP offer message sent by a load balancing server; selecting a target media server from a media server cluster according to the cluster load information and a media stream identifier carried in the SDP offer message; when the target media server is the first media server, the first media server determining channel parameter information of a first channel according to a server identifier of the first media server and the media stream identifier, and sending a first SDP response message including the channel parameter information of the first channel to a terminal; establishing the first channel according to the channel parameter information of the first channel; and sending a media stream to the terminal through the first channel. This method does not require the load balancing server to forward the first SDP response message, can reduce the time overhead for establishing a media transmission channel, and reduce the first-frame delay. The present application also provides a media server and a communication system capable of implementing the above method.

A method including, at a media content server, receiving a pre-modified live digital audio stream, modifying the pre-modified live digital audio stream to produce a live digital audio stream, at a time-shifted media server, storing the pre-modified live digital audio stream, at an alternative content server, identifying and storing respective alternative content start / stop tags, at a client device, receiving the live digital audio stream, in response to a playback command by a user, transmitting a time-shifted digital audio stream request, in response to the time-shifted digital audio stream request, the time-shifted media server streaming the time-shifted digital audio stream, the client device, identifying an upcoming alternative content period, in response to determining that the upcoming alternative content period is within a pre-determined timing threshold, transmitting an alternative content request, receiving a second alternative content, ceasing to output the time-shifted digital audio stream, and outputting the second alternative content.

The invention discloses an RTMP one-way proxy method, system and device based on one-way import equipment and a medium, mainly relates to the technical field of one-way proxy, and is used for solving the problems that in the existing scheme, the one-way flow of data is strictly limited, but a VPN (Virtual Private Network) needs to establish a tunnel through two-way communication, and the handshake process of an RTMP also depends on two-way transmission, so that the efficiency is high. The defect cannot be avoided in the prior art. Comprising a streaming media service relay module connected with RTMP stream pushing end equipment A, a one-way sending program connected with the streaming media service relay module, a one-way receiving program connected with the one-way sending program, and an analog terminal publishing module connected with the one-way receiving program. The system comprises a subscribed external network RTMP streaming media server, an analog terminal subscription module connected with the subscribed external network RTMP streaming media server, a one-way sending program connected with the analog terminal subscription module, a one-way receiving program connected with the one-way sending program, and an analog terminal publishing module connected with the one-way receiving program.

In various examples, the decoding and upscaling capabilities of a client device are analyzed to determine encoding parameters and operations used by a content streaming server to generate encoded video streams. The quality of the upscaled content of the client device may be monitored by the streaming servers such that the encoding parameters may be updated based on the monitored quality. In this way, the encoding operations of one or more streaming servers may be more effectively matched to the decoding and upscaling abilities of one or more client devise such that an increased number of client devices may be served by the streaming servers.

A system (400) for providing an audio profile for streaming video, includes an audio profile subsystem (433) that receives audio mix data and synchronizes audio data in an audio profile. A streaming service video streaming server (420) receives video data, uncompressed audio data synchronized with audio tracks, and the audio profile. An audio profile server (430) is configured to receive the audio profile and dynamic range compression descriptors to produce audio profile metadata. An audio reproduction system (410) receives audio profile metadata and listening environment parameters to adjust audio parameters based on the audio rendering system characteristics and a listening environment of the audio rendering system. The audio parameters include one or more of equalization, a filter, a rendering delay, and volume.