103 results about "Video optimization" patented technology

A video optimizer receives a request to optimize a source file and stream the optimized file. The request may be accompanied by a key uniquely identifying the original source file to be optimized and an optimized version of the source file to stream to the client. The key uniquely identifies the source video file as it exists on an origin server to prevent transmission of modified source video and the optimized version of the source file by optimization parameters to ensure compatibility with the user device. The video optimizer queries a cache database in response to the received request, which contains references keys and locations of optimized source files among local caches in a cluster of video optimizers. The cache database responds indicates whether a matching optimized version of the source file exists in a local cache of a given video optimizer in the cluster.

A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

A video optimizer receives a request to optimize a video, wherein the request includes optimization parameters and a uniform resource locator (URL) of the video. The video optimizer retrieves the video from an origin server and transcodes the video based on optimization parameters. The video optimizer load balances several transcoding sessions over one or more servers and tracks each session based on session identifications (IDs). Additionally, the video optimizer tracks each session to determine when a server is at or near capacity to prevent an overflow situation. The video optimizer is also enabled to stitch together two or more transcoding sessions in the event of a seek operation by a user during video playback. The video optimizer streams the video to the client device, enabling the client device to stream videos in substantially real-time after requesting the video.

An improved system and method for selectively applying LCD Response Time Compensation (LRTC) to areas of an LCD panel containing video motion. Motion vectors contained within macroblocks in a compressed video stream are utilized to qualify whether individual pixels in a video frame are a candidate for LRTC. In various embodiments of the invention, computationally expensive LRTC can be selectively applied, pixel-by-pixel, which can result in portable information system power savings by reducing the number of computational cycles and the amount of graphics controller power overhead.

A method of optimizing an encoded video stream comprising one or more video frames, each video frame comprising a plurality of macroblocks, each macroblock comprising a plurality of pixels. The method includes receiving an encoded macroblock, decoding the encoded macroblock, and extracting a first quantization parameter. The first quantization parameter corresponds to quantization settings originally used for compressing the encoded macroblock. The method also includes computing a second quantization parameter based at least in part on the first quantization parameter, re-encoding the decoded macroblock based on the second quantization parameter, and providing the re-encoded macroblock.

The invention discloses a video optimization recommendation method and apparatus. The method comprises the steps of obtaining historical behavior data of a user watching behavior, a label attribute ofa user and a video feature; outputting an optimized selection parameter by utilizing a preset video optimization model based on the historical behavior data, the user tag attribute and the video feature; generating a video optimization scheme according to the optimization selection parameters, and releasing the video optimization scheme through a DSP. The invention belongs to the field of scienceand technology finance, and can obtain the optimized selection parameter according to the historical behavior of the user, the user label and the video feature, and then generate the video optimizedselection parameter, thereby realizing the optimization of the video advertisement, and accurately recommending the video advertisement.

A computer-implemented method includes receiving an encoded video frame, decompressing the received encoded video frame, extracting a first quantization parameter (QP) from the decompressed video frame, and acquiring a delta QP based on the first QP. The method also includes acquiring a second QP based on the delta QP and the first QP, compressing the decompressed video frame based on the second QP, and providing the compressed video frame. The first QP corresponds to quantization settings originally used for compressing the encoded video frame. And the second QP corresponds to quantization settings for compressing the decompressed video frame.

The invention discloses an image processing method, an apparatus, an electronic device and a computer-readable medium, which relate to the technical field of video processing. The method comprises thefollowing steps of: obtaining a target frame image corresponding to a video file; Determining a plurality of target regions corresponding to the target frame image; Optimizing image data in a targetregion satisfying a preset condition in the target frame image; displaying the optimized target frame image on a screen of the electronic device. Therefore, in the process of video playback, the videocan be optimized according to the target area of each frame image to improve the image quality of user video file playback, so as to obtain ultra-clear visual effect and improve the user experience.

The embodiment of the invention also discloses a system and a method for optimizing video, the system for optimizing video confirms that the video buffer system caches at least one transcoding video resource corresponding to the video resource while receiving the access request for the source video resource from the client side, the system confirms the transcoding video resource capable of being transmitted at the current network congestion state from the source video resource and at least one transcoding video resource according to the current network congestion state and transmits the obtained transcoding video resource to the client side, so the system for optimizing video can send the transcoding video resource being different in code rate to the client side based on the different network congestion states, the transcoding video resource with low code rate can be sent at serious network congestion state and the transcoding video resource with high code rate can be sent while the network congestion state is not serious, the system can provide smoother video resource for the client side and promote the usage experience for the user.

The invention discloses a virtual reality 4K video optimization method and device. The method comprises the steps that step A: anti-distortion processing is performed on a decoded 4K video and zooming is not performed in a virtual reality engine according to the position of projection of the decoded 4K video on the screen of a virtual reality scene and the size of the frame of the screen; and step B: after completion of scene rendering, the video after anti-distortion processing and the rendered scene are synthesized, and the frames are delivered and outputted to the screen of virtual reality equipment. Anti-distortion processing is performed on the video and zooming is not performed before the video texture is pasted on the screen of the virtual reality scene, the video is deformed into the shape suitable for playing of the screen of the virtual reality scene, and finally the video and the scene are directly synthesized in the process of synthesis of the video and the scene and delivery to the screen of the virtual reality equipment so that the problem of the fuzzy frames caused by reducing the 4K video and then zooming the 4K video can be avoided.

A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

The invention discloses a video optimization information providing method and device, electronic equipment and a readable medium, and the method comprises the steps: determining a video popularity influence factor of a user according to video feedback data of the user, wherein the video feedback data comprises video browsing data and / or video interaction data; determining video optimization information according to the video popularity influence factors; and sending the video optimization information to a terminal device to which the user belongs, so that the user improves the popularity of asubsequently published video according to the video optimization information. According to the scheme of the embodiment of the invention, the optimization information capable of improving the video popularity can be automatically provided for the user to assist the user in improving the popularity of the subsequently published video, so that the video publishing enthusiasm of the user is improved,and meanwhile, the overall popularity of video resources of a service platform is also ensured.

The invention provides a network camera video quality improving method. The method mainly comprises the following steps of (1) obtaining a preliminary video; (2) evaluating the content of the preliminary video, collecting the video data, calibrating and constructing a data set, training by using a convolutional neural network and a full connection network, carrying out feature fusion by using a saliency algorithm to obtain a video quality evaluation model conforming to the sense organ of a person, and judging the video quality obtained by a camera in real time; (3) directly outputting the video with the video quality meeting the requirements, performing the multi-frame video optimization processing based on super pixels on the video which does not meet the requirements, and performing frame reduction optimization; and (4) outputting the video processed in the step (3) through a network. The method has the advantages that the high-accuracy evaluation meeting the human evaluation standards can be carried out on the video quality, more important targets are concerned, the real-time frame reduction optimization is achieved in a super-resolution and multi-frame splicing mode, and the video quality originally outputted by the camera is improved.

A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

The invention discloses a voice danmaku generation method and device, and relates to video optimization. The generation method comprises that a voice form user comment or a word form user comment is collected; the word form user comment is generated according to the collected voice form user comment, or the voice form user comment is generated according to the collected word form user comment; links of the word form user comment and the voice form user comment are established; and the word form user comment containing the link of the voice form user comment is displayed for a user in the danmaku form. Thus, the user can choose to listen to danmuku voice, and more selections and better watching experience are provided for the user.

The invention discloses an advertisement video optimization method, device and equipment and a computer readable storage medium, and the method comprises the steps: segmenting an advertisement video to be optimized into a plurality of advertisement video segments, carrying out the key video frame extraction of each advertisement video segment through a preset video frame extraction algorithm, andobtaining a plurality of candidate key video frames; obtaining a key index assessment algorithm, and assessing each candidate key video frame in the plurality of candidate key video frames according to the key index assessment algorithm to obtain a target key index of each candidate key video frame; selecting a target key video frame from the plurality of candidate key video frames according to the target key index of each candidate key video frame; obtaining a key video frame preposition strategy, and optimizing the advertisement video based on the key video frame preposition strategy and thetarget key video frame to obtain a target advertisement video. According to the invention, the advertisement video can be quickly and accurately optimized.

The invention belongs to the field of image processing, and provides a training method of a video optimization model and electronic equipment, and the method comprises the steps: inputting a fuzzy video into a preset video optimization model for alignment and deblurring and obtaining a first output image in an output video; determining an optical flow according to a label video, and transforming the first output image according to the optical flow to obtain a second output image; determining the difference between the first output image and the first label image and the difference between the second output image and the second label image, and adjusting the parameters of the video optimization model according to the differences until the training of the video optimization model is completed. The to-be-optimized video is subjected to alignment processing through the alignment module, the aligned image is subjected to video optimization through the trained video optimization model, the deblurred video can be obtained, meanwhile, the time domain consistency problem can be effectively optimized, and therefore the optimization efficiency of the blurred video can be effectively improved.

The invention discloses a monitor with a video optimization function. The monitor with the video optimization function comprises a display unit. The monitor with the video optimization function is characterized by further comprising a video optimization module. By using a field programmable gate array (FPGA) programmable logic and matching with a particular algorithm, the video optimization module conducts optimization to a video image, enables the video image to be clear and enables an object outline in the video image to be clear and discernible, and simultaneously sends the video image after the optimization to the display module to conduct driving display. The monitor with the video optimization function has the advantages that the quality of monitoring videos is further improved, the application of other auxiliary devices is avoided at the same time, and the monitor with the video optimization function is simple in structure, stable and reliable, low in cost and high in practicability.

The invention relates to a video quality improving method based on sensitive information enhancement for a video monitoring system. The video quality improving method is characterized by comprising the following steps: calculating a coded quantization parameter value according to the parameter setting of a coder; acquiring a pixel average SATD (Sum of Absolute Transformed Difference) value; calculating the SATD value of chromaticity to obtain the pixel average SATD value of the chromaticity; calculating a chromaticity quantization parameter through a quantization parameter difference value factor; performing extra compensation coding on video brightness by adopting front-end equipment of a video optimizer to improve the image quality. According to the video quality improving method based on sensitive information enhancement for the video monitoring system, video data are acquired to calculate the coded quantization parameter value, a chromaticity component code rate is lowered appropriately, and a brightness component code rate is increased, so that better image quality can be obtained under the condition of the same code rate.

The invention discloses a real-shot double-viewpoint 3D video optimization method and system oriented to naked 3D display. The method comprises the following steps: inputting a real-shot double-viewpoint 3D video; selecting a left picture or a right picture as a first viewpoint image, and a corresponding right picture or left picture as a second viewpoint image; partitioning the first viewpoint image into basic computing units; searching for matching units in the second viewpoint image based on the basic computing units of the first viewpoint image to compute a parallax field; converting the parallax field based on the basic computing units into a parallax field based on pixels by an edge-directed interpolation method; and normalizing the parallax field based on the pixels, and outputting the first viewpoint image and the parallax field based on the pixels in an image and depth 3D video format. Through adoption of the real-shot double-viewpoint 3D video optimization method and system, complicated later processing can be avoided in order to eliminate differences between the left picture and the right picture of the real-shot double-viewpoint 3D video. Through a semi-automatic parallax computing method, depth information or parallax information of the real-shot double-viewpoint 3D video can be extracted effectively, and the 3D effect of the real-shot double-viewpoint 3D video is kept.

Per-viewer engagement-based video optimization is disclosed. A request for content associated with a first client is received. A model associated with the first client is obtained. The obtained model comprises at least one of behavior and playback preferences of a viewer associated with the first client. The obtained model is used to determine, for the first client, an optimal set of instructions usable to obtain content. A different set of instructions is determined to be optimal for a second client. The optimal set of instructions determined for the client is provided as output. The first client is configured to obtain content according to the optimal set of instructions determined for the first client.

The invention relates to the technical field of video optimization, in particular to a video content identification method, device and apparatus, and an electronic device. The method comprises the following steps: step S110, dividing a video into a plurality of video clips; S120, when the video is played, acquiring eyeball tracking concentration degree data related to each video clip is acquired;S130, estimating a concentration value corresponding to the video clip according to the eyeball tracking concentration data of the video clip; S140, judging whether the concentration degree value is smaller than a preset concentration degree threshold value or not; and S150, when the concentration degree value is smaller than a preset concentration degree threshold value, identifying the video clip to optimize the content of the video clip. The problem that in the prior art, the video clip with low concentration cannot be identified through the concentration degree of the user on the video content so as to optimize the video content is solved.

An improved system and method for selectively applying LCD Response Time Compensation (LRTC) to areas of an LCD panel containing video motion. Motion vectors contained within macroblocks in a compressed video stream are utilized to qualify whether individual pixels in a video frame are a candidate for LRTC. In various embodiments of the invention, computationally expensive LRTC can be selectively applied, pixel-by-pixel, which can result in portable information system power savings by reducing the number of computational cycles and the amount of graphics controller power overhead.

The application provides a method and device for optimizing video application experience based on user behavior. The method comprises the following steps: dividing multiple videos into different videocategories according to video duration; counting the behavior of the user which has browsed the video in the predetermined time range according to video of each video category, and marking the occurring time point of the behavior; computing the average playing duration of all videos under each video category and the average playing duration of each video in each video category according to the marked time point; and computing the difference between the computed average playing duration of all videos and the average playing duration of each video, and determining the adopted video optimizationway according to the difference.

The invention relates to a network media optimization, and discloses a stream media video start playing abnormity analyzing method. The abnormity analyzing method comprises following steps of obtaining time T1 starting from requesting to a video server for a scheduling address of a video by a player to finishing initialization of the player; obtaining time T2 starting from playing the video by the player to displaying the first frame of the video; and judging whether the interaction of the player and the video server appears an abnormity or the player or a video source appears the abnormity according to the time T1 and the time T2. According to the stream media video start playing abnormity analyzing method and the stream media video start playing abnormity analyzing system provided by the invention, the video start playing abnormity can be rapidly analyzed and solved; and the user experience is greatly improved.

A post processing system, method and computer program product content-adaptively transforms MPEG on-demand media streams, including a video optimizer software development kit (SDK); an application layer controlling the SDK interfacing with a mobile device operating and file system. Raw pixel frame buffers are parsed and structured. The buffers are normalizes for processing. Source content is analyzed in an uncompressed format for video patterns and characteristics and parameters are selected in a video codec output format. Estimated are parameters for portions and / or segments of the content. The content is recompressed and optimized in a content-adaptive manner to generate optimized content written into persistent storage of the mobile device, and segments of which are combined with an audio stream and / or a metadata stream information to generate a playable media stream in an ISO base media file format and / or a media file application specific format.

A method of optimizing an encoded video stream comprising one or more video frames, each video frame comprising a plurality of macroblocks, each macroblock comprising a plurality of pixels. The method includes receiving an encoded macroblock, decoding the encoded macroblock, and extracting a first quantization parameter. The first quantization parameter corresponds to quantization settings originally used for compressing the encoded macroblock. The method also includes computing a second quantization parameter based at least in part on the first quantization parameter, re-encoding the decoded macroblock based on the second quantization parameter, and providing the re-encoded macroblock.

The invention discloses an archive digitization processing intelligent process assembly line platform which comprises an archive library in signal connection with an archive arrangement system. The archive arrangement system is in signal connection with an archive digitization processing system, the archive digitization processing system comprises a high-definition scanning device, a scanning quality inspection device, an image and video optimization device, an optimizing quality inspection device and a data backup device, the data backup device is in signal connection with an archive restoration system and an archive digitization preservation system, and the archive restoration system comprises an archive binding device and an archive quality inspection device. In the archive digitizationprocessing course, after the scanning quality inspection device, the optimizing quality inspection device and the archive quality inspection device find abnormality, an alarm module gives an alarm, signals are transmitted to a previous step for reprocessing, error correction speed is high, accuracy is high, picture or video archives are optimized by setting the image and video optimization device, and definition of digitized archives is improved.

A computer-implemented method includes receiving an encoded video frame, decompressing the received encoded video frame, extracting a first quantization parameter (QP) from the decompressed video frame, and acquiring a delta QP based on the first QP. The method also includes acquiring a second QP based on the delta QP and the first QP, compressing the decompressed video frame based on the second QP, and providing the compressed video frame. The first QP corresponds to quantization settings originally used for compressing the encoded video frame. And the second QP corresponds to quantization settings for compressing the decompressed video frame.