1225 results about "Video quality" patented technology

Video displays using relatively low frame rates of about 10 to about 20 frames per second, but having acceptable video quality are described. The displays may use bistable media, and may be driven such that the medium, when driven, changes its optical properties continuously during the driving of each frame. The displays may use an electro-optic medium such that the frame period is from about 50 to about 200 percent of the switching time of the electro-optic medium at the driving voltage used.

Described herein are systems and methods for multiplexing and transmitting video data. The systems and methods use excess bandwidth in a channel available after meeting minimum transmission requirements for all bitstreams. A network device of the invention flexibly allocates this available bandwidth to minimize further rate reduction. More specifically, the network device periodically determines the available bandwidth, and divides the available bandwidth among multiple incoming bitstreams being multiplexed in order to increase downstream decoder buffer levels. By maintaining increased decoder buffer levels, future rate reduction of the video data may be avoided or applied to a lesser degree. Minimizing rate reduction in this manner improves bandwidth usage efficiency, and thus improves video data transmission and end-user output video quality.

Apparatus and method to decode video data while maintaining a target video quality using an integrated error control system including error detection, resynchronization and error recovery are described. Robust error control can be provided by a joint encoder-decoder functionality including multiple error resilience designs. In one aspect, error recovery may be an end-to-end integrated multi-layer error detection, resynchronization and recovery mechanism designed to achieve reliable error detection and error localization. The error recovery system may include cross-layer interaction of error detection, resynchronization and error recovery subsystems. In another aspect, error handling of a scalable coded bitstream is coordinated across a base-layer and enhancement layer of scalable compressed video.

A video quality evaluation method based on artificial neural network, which belongs to the field of computer digital video processing. The evaluation algorithm computes damage extent of an image by analyzing spatial characters (blur, entropy, blocking effect, frequency-domain energy analysis, saturation) and time behaviors (frame-to-frame differences). Evaluation effect of the algorithm can be effectively modified by using colour space saturation as one of the parameters for non-reference evaluation algorithm. The system is designed based on artificial neural network, therefore, training process and testing process of the network are included in realization of the algorithm. To the selected training sample (video image sequence), firstly extracts six parameters of the sample, then obtains expected output (subjective evaluation result) in training through subjective evaluation. Characteristic parameters of the training sample and the corresponding subjective evaluation result are inputted to the artificial neural network as training parameters. The experiment shows that evaluation result obtained by the objective evaluation system is highly-consistent with visual sense of human eyes.

The present disclosure includes methods and systems for streaming high-performance virtual reality video using adaptive rate allocation. In particular, an adaptive rate allocation system partitions a panorama video into segments or tiles and assigns priorities to each tile or segment based on input (e.g., a viewport of field-of-view) from a user client device. Further, the adaptive rate allocation system streams each tile or segment to the user client device according to the adaptive rate allocation, which maximizes bandwidth efficiency and video quality. In this manner, the adaptive rate allocation system delivers higher quality content to regions in the panorama video where a user is currently looking/most likely to look.

Systems, methods, and a computer readable medium for performing auto exposure (AE) techniques that are beneficial in variable lighting conditions—and particularly applicable to handheld and/or mobile videoconferencing applications—are disclosed herein. Handheld and/or mobile videoconferencing applications—unlike their fixed camera counterparts—are often exposed to a wide variety of rapidly changing lighting and scene conditions, and thus face a difficult trade-off between adjusting exposure parameter values too frequently or not frequently enough. In personal electronic devices executing such handheld and/or mobile videoconferencing applications, it may be desirable to: use a small, centered, and center-weighted exposure metering region; set a relatively low brightness target value; and adjust the camera's exposure parameter values according to a distance-dependent convergence speed function. The use of such techniques, in conjunction with a relatively large stability region, may also improve the quality of a video encoder's temporal predictions—and thus video quality—in videoconferencing applications.

The invention belongs to the field of computer vision video motion identification, and discloses a human behavior identification method based on a 3D deep convolutional network. The human behavior identification method comprises the steps of: firstly, dividing a video into a series of consecutive video segments; then, inputting the consecutive video segments into a 3D neural network formed by a convolutional computation layer and a space-time pyramid pooling layer to obtain features of the consecutive video segments; and then calculating global video features by means of a long and short memory model, and regarding the global video features as a behavior pattern. The human behavior identification method has obvious advantages, can perform feature extraction on video segments of arbitrary resolution and time length by improving a standard 3D convolutional network C3D and introducing multistage pooling, improves the great robustness of the model to behavior change, is conductive to increasing video training data scale while maintaining video quality, and improves the integrity of behavior information through carrying out correlation information embedding according to motion sub-states.

An Encoder Assisted Frame Rate Up Conversion (EA-FRUC) system that utilizes various motion models, such as affine models, in addition to video coding and pre-processing operations at the video encoder to exploit the FRUC processing that will occur in the decoder in order to improve the modeling of moving objects, compression efficiency and reconstructed video quality. Furthermore, objects are identified in a way that reduces the amount of information necessary for encoding to render the objects on the decoder device.

A multimedia compression system for generating frame rate scaleable data in the case of universally scaleable data. Universally scaleable data is scaleable across all of the relevant characteristics of the data (e.g., frame rate, resolution, and quality for video). The scaleable data generated by the compression system includes multiple additive layers for each characteristic across which the data is scaleable. For video, the frame rate layers are additive temporal layers, the resolution layers are additive base and enhancement layers, and the quality layers are additive index planes of embedded codes. Various techniques can be used for generating these layers (e.g., Laplacian pyramid decomposition or wavelet decomposition for generating the resolution layers; tree structured vector quantization or tree structured scalar quantization for generating the quality layers). The system further provides for embedded inter-frame compression in the context of frame rate scalability, and non-redundant layered multicast network delivery of the scaleable data.

Provided is a view quality judging device capable of accurately judging the view quality without posing a load on a viewer. The view quality judging device is used in view quality data generation device (100), which includes an expected feeling value information generation unit (300) for acquiring expected feeling value information indicating feeling expected to be generated in a viewer who vies a content; a feeling information generation unit (200) for acquiring feeling information indicating the feeling generated in the viewer upon viewing the content; and a view quality data generation unit (400) for judging the view quality of the content by comparing the expected feeling value information to the feeling information.

The invention provides a large-range fire disaster analyzing and early warning system which comprises a fire disaster characteristic database, a video capture module, a temperature collection module, a video quality improvement module, a fire disaster characteristic extraction module, a fire disaster characteristic identification module, a fire disaster management and control trigger rule judgment module and a fire disaster real-time management and control platform, wherein the fire disaster characteristic database comprises a smoke/flame image model; the video capture module is used for capturing digital video images within a large range; the temperature collection module is used for collecting temperature information through a thermal imaging product; the video quality improvement module is used for carrying out quality improvement on the video image; the fire disaster characteristic extraction module is used for carrying out foreground extraction, target matching and target classification on a video sequence; the fire disaster characteristic identification module is used for comparing and identifying a video object with the fire disaster characteristic database according to parameters set by a user; the fire disaster management and control trigger rule judgment module is used for judging whether a rule is broken or not according to the rule preset by the user by combining video characteristics and temperature values, and if so, sending out abnormal information; and the fire disaster real-time management and control platform is used for receiving a video analysis result and issuing a management and control order according to the analysis result.

A method of adaptively adjusting a QP of a video encoder to control output bit rate including estimating the QP based on a complexity of a previous frame and encoding bit rate information of a current frame to provide an estimated QP, determining a threshold value based on a video quality factor, a target bit rate and a complexity of a previous interval of the current frame or the same interval of the previous frame, and if the estimated QP is greater than the threshold value, adaptively adjusting the estimated QP using the threshold value, the target bit rate and the complexity of the previous interval. The method may include adaptively limiting a change of the QP between frame intervals based on a difference between the QP and the threshold value. Complexity information may be based on an average of minimum SAD values.

A video signal is encoded in a progressive video coder so as to generate a progressive coded video bit stream for transmission over a heterogeneous network. The progressive coded video bit stream is configured so as to be decodable at any one of a series of increasing bit rates up to a maximum bit rate, depending on which of a number of corresponding portions of the progressive coded video bit stream are received by a decoder. Each of the portions is associated with a different bit rate, and one or more of the portions may each also be associated with different values of other parameters such as frame rate, spatial resolution, and peak signal-to-noise ratio. Each of the series of increasing bit rates produces progressively better reconstructed video quality at an output of the decoder. The progressive coded bit stream is transmitted over a first part of the heterogeneous network at a first one of the bit rates. One or more selected portions of the progressive coded video bit stream are then transmitted from the first part of the heterogeneous network to a second part of the heterogeneous network. The selected portions are associated with a second one of the bit rates lower than the first bit rate, and may be selected based on an error detected in the transmission over the first part of the heterogeneous network, and/or a characteristic of the second part of the heterogeneous network. The invention provides efficient bit rate scalability and adaptability and is particularly well-suited for use in conjunction with transmission over heterogeneous wired-to-wireless networks.

Techniques are disclosed for representing a user quality of experience (QoE) experienced by users of a streaming media service using a single QoE metric. The single QoE metric may be determined based on a set of empirical characteristics relating to the streaming video service such as startup latency, video quality, and the likelihood of interruptions in streaming playback. The empirical characteristics may be weighted according to how much one factor influences user quality of experience, relative to the others. Representing the QoE as a single metric may allow a streaming media service provider to improve key business measures such as subscriber retention and engagement.

A set of customizing operations for digital content is determined in accordance with network condition of a current network communication channel between a content server and one or more receiving devices, wherein the digital content is provided by the content server for transport to the receiving device and includes multiple frames of digital video data. The set of customizing operations specify multiple sequences or paths of customized video data in accordance with available video frame rates, and a customized video data sequence is selected from among the specified multiple sequences of customized video data in accordance with estimated received video quality and network condition for each receiving device.

A system and method for distributing encoded video content over a public packet-based communication network to a plurality of decoders. The system comprises a receive buffer adapted for receiving an encoded video stream from the network as a plurality of packets, having first receive buffer settings compatible with second receive buffer settings associated with an encoder buffer being the origin of the encoded video stream. The system also has a distribution module adapted for replicating the encoded video stream as a plurality of encoded video streams, and a send buffer adapted for sending the plurality of video streams over the network, a first replicated encoded video stream of the plurality of video streams is configured for sending to a first decoder buffer and a second replicated encoded video stream of the plurality of video streams is configured for sending to a second decoder buffer different from the first decoder buffer.

The invention relates to network video monitored fault positioning system and method based on video detection and comprehensive network management. In the invention, a fault positioning and analyzing center server generates quality detecting task information according to the set of users and equipment information obtained from a network video monitoring platform, and distributes the quality detecting task information to a video quality detecting server, and the video quality detecting server carries out detection according to video images obtained from the network video monitoring platform, realizes fault positioning by being combined with network information in the fault video flowing transmitting process in detection results, and displays corresponding fault positioning and warning information to the users. Therefore, when the network video quality has problems, by using the device and the method provided by the invention, the automatic fault poisoning can be realized, the fault warning can be prompted to the users, the maintenance reference suggestion can be provided, and further the stability of network video monitoring service can be ensured. The system provided by the invention is clear in framework, realizes reasonable cost, is easy and convenient for using the method and is wide in application range.

The invention relates to a shifting video code rate regulation method based on experience qualitative forecast. According to the invention, a sending end divides an encoding video speed rate into four grades, when a mobile terminal user requires a video business, the scale of the initial code rate of a video is middle, and thus, a QoE prediction model is periodically utilized to calculate a user taste value; the predicted QoE value and the presupposed QoE threshold value are compared, if the user experience quality is lower than the threshold value, and the corresponding adjustment is performed according to the network congestion indication and encoding video speed rate fedback by a receiving end in two periods; and the code rate grade of the next period is output until the request is finished, wherein the QoE prediction model is positioned on a video server side, and the decision tree structure is improved through training a plurality of gradients. The shifting video code rate regulation method provided by the invention can be used for solving a problem that in the current code rate regulation method, the video quality subjective feeling of users can not be considered, a network resource is fully utilized, meanwhile, the generation of network congestion is avoided or slacked, and the taste quality of the users is effectively improved.

An improved system and method for predicting streaming media performance through the use of real-time wireless network performance measurements and statistical analysis, combined with a generalized methodology for comparing digital media quality before and after transmission. Network performance parameters of a benchmark media stream, such as throughput and signal strength, are measured for predetermined wireless network ranges and correlated to the introduction of various artifacts such as but not limited to, blurring, blockiness, and jerkiness, affecting streaming video quality. In various embodiments of the invention, network throughput and signal strength measurements of a received media stream can be processed by an algorithm and correlated to previously collected benchmark measurements to predict the resulting audio and video quality as experienced by a user.

Methods and apparatuses to encode multimedia data enabling, among others, for example, improved decoded video quality, improved error recovery capabilities and/or improved decoding efficiency are described. A method according to the application includes one or more of the following: initializing a pixel-level reference counter for a current frame, performing a prediction of a next frame referring to the current frame, incrementing the pixel-level reference counter for each pixel of the current frame that is referenced during the prediction of the next frame, readjusting a macroblock bandwidth map of the current frame, repeating the steps of initializing, performing and readjusting for each next frame in a plurality of next frames referring to the current frame, and encoding the current frame based at least in part on the readjusted macroblock bandwidth map of the current frame.

Efficient techniques are provided to detect and correct channel errors found in an encoded video signal. In one example embodiment, header information in a video frame is analyzed to detect channel errors in the video frame. The video frame is then corrected for detected channel errors by isolating the detected channel errors to a few macroblocks in the video frame to reduce data loss and improve video quality.

In a data transmission system, a server is provided with a data storage unit which holds plural video streams having different I-frame intervals, as coded data corresponding to the same video sequence, and a data transmission unit for transmitting a predetermined video stream among the plural video streams, according to a command signal Sc from a receiving terminal. The receiving terminal transmits a data designation signal (command signal) Sc which designates one of the plural video streams stored at the server end, to the server, on the basis of the contents of user setting. Therefore, at the receiving terminal, a video stream to be supplied from the transmitting end (server) can be selected between one having a high resistance to transmission error and one having a high video quality, according to the user's preference.

The invention discloses a method for splicing large-scale video with a separated dynamic foreground, which relates to the field of video splicing and panorama video. The method comprises the following steps: shooting by cameras with multiple positions and relatively fixed and same shooting angles to obtain video data, sequentially reading video sequences by a computer system, sequentially carrying out geometry correction and foreground extraction on the video sequences, then respectively matching and exchanging foreground video sequences and background video sequences to obtain spliced foreground and background video, and finally syncretizing the spliced foreground and background video to obtain a final video splicing result. The placing position of the cameras used in the invention can be adjusted according to the shooting environments, and the number of the cameras can be 2 or more. The method avoids generating a ghost shadow through separating the foreground and reselecting data to be remained by one part in an overlapped region. Tests prove that the method not only ensures the video quality, but also increases the speed of a splicing algorithm.

A system for monitoring the quality of DRM-protected multimedia data streams, the system comprising at least one computer having a network connection to receive at least one said DRM-protected multimedia data stream, program memory, working memory, and a processor coupled to said program memory, working memory, and wherein said program memory stores processor control code for a media player for said multimedia data stream and code to control said processor to: play said DRM-protected multimedia data stream to provide at least a decrypted video data output stream for display on a monitor; capture still image data from a succession of still images from said video data output stream; process said still image data to detect greater than a threshold difference between at least two of said still images; and output fault data identifying a potential video quality fault responsive to absence of detection of said greater than a threshold difference.

A system is provided for that improves video quality and resolution. The system include a processor configured with logic to estimate an image from at least one observed image to produce an estimated image, the observed image having a lower spatial resolution than the estimated image. The processor is further configured with logic to simulate steps of an imaging process and compression process and update the estimated image with statistical and/or deterministic information if further optimization is needed, otherwise designate the estimated image as a solution.

The invention provides a vehicle violation detection system based on a high definition video technology and a method thereof. The system has a complete structure. A process is clear. A plurality of video processing algorithms are used. Simultaneously, a vehicle position, a movement track, lane information and traffic light information are combined together so as to realize violation rule determination. A strong expansibility can be possesses. When a high-definition digital video signal is accessed into the system, a lane information parameter only needs to be set and all processing is realized based on a video analysis technology. A vehicle detection apparatus or a traffic light electrical signal does not need to be accessed. Independence is strong. System performance can be increased. Installation and usage are convenient. A video quality detection module can analyze and monitor high-definition digital video quality in real time, and can directly alarm when discovering abnormity of the video acquisition quality so as to prompt management personnel to eliminate a fault. Stable operation and a preset function of the system can be maximumly guaranteed. The system and the method havecharacteristics of multifunction, intelligence and simple and convenient usage. The system and the method have a wide application prospect.

Described herein are systems and methods for processing and transmitting data included in packets with jitter. The systems and methods combine a jitter buffer and a buffer scanned by a look ahead window as a combined buffer. The combined buffer varies look ahead window and performance of a process that uses the look ahead window based on the current jitter support in the buffer. More specifically, the flexible buffering techniques flexibly adapt the size of the look ahead window based on the amount of buffer space used for jitter support. When jitter support requirements are low, the size of the look ahead window is increased. When the look ahead window is implemented with a multiplexer, the multiplexer may benefit from a larger look ahead window and improve multiplexer performance. Improved multiplexer performance may lead to less or more intelligent re-encoding and bit rate reduction for video data transmission applications, leading to improved decoded output video quality.

The embodiment of the invention provides a multimedia data processing method based on an unmanned aerial vehicle and a multimedia data processing system thereof. The system at least comprises the unmanned aerial vehicle, relay base stations and a server. The unmanned aerial vehicle and the relay base stations communicate through the specific frequency band. The relay base stations and the server are connected in a wired or wireless mode. The unmanned aerial vehicle is used for acquiring multimedia data and broadcasting the multimedia data to multiple relay base stations within the preset range. The relay base stations are used for receiving the multimedia data. The server is used for determining the target relay base station from the multiple relay base stations and acquiring the multimedia data from the target relay base station and transmitting the multimedia data to a client side used for displaying the multimedia data. According to the multimedia data processing method based on the unmanned aerial vehicle and the multimedia data processing system thereof, the limitation of small coverage range of aerial photography of the conventional unmanned aerial vehicle can be effectively solved and the video quality of the aerial photography of the unmanned aerial vehicle can be improved.

A video encoding/decoding system based on 3D wavelet decomposition and the human perceptual model is implemented. JND is applied in quantizer design to improve the subjective quality of compressed video. The 3D wavelet decomposition helps to remove spatial and temporal redundancy and provides scalability of video quality. In order to conceal the errors that may, occur under bad wireless channel conditions, a slicing method and a joint source channel coding scenario, that combines RCPC with CRC and utilizes the distortion information to allocate convolutional coding rates are proposed. A new subjective quality index based on JND is presented and used to evaluate the overall system performance at different signal to noise rations (SNR) and at different compression ratios. Due to the wide use of arithmetic coding (AC) in data compression, it is considered as a readily available unit in the video codec system for broadcasting. A new scheme for conditional access (CA) sub-system is designed based on the compression graphic property of arithmetic coding. Its performance is analyzed along with its application in a multi-resolution video compression system. This scheme simplifies the conditional access sub-system and provides satisfactory system reliability.

Systems and methods of objective video quality measurement based on support vector machines. The video quality measurement systems can obtain information pertaining to features of a target training video, obtain corresponding information pertaining to features of a reference version of the target training video, and employ the target training features and/or the reference training features to build video quality models using such support vector machines. Based on the target training features and/or the reference training features used to build such video quality models, the video quality models can be made to conform more closely to the human visual system. Moreover, using such video quality models in conjunction with target features of a target video whose perceptual quality is to be measured, and/or reference features of a reference video, the video quality measurement systems can be employed to predict measurements of the perceptual quality of such a target video with increased accuracy.