Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

555 results about "Group of pictures" patented technology

In video coding, a group of pictures, or GOP structure, specifies the order in which intra- and inter-frames are arranged. The GOP is a collection of successive pictures within a coded video stream. Each coded video stream consists of successive GOPs, from which the visible frames are generated. Encountering a new GOP in a compressed video stream means that the decoder doesn't need any previous frames in order to decode the next ones, and allows fast seeking through the video.

Coding system and its method, coding device and its method, decoding device and its method, recording device and its method, and reproducing device and its method

The present invention relates to a transcoder for executing a re-coding process on an encoded stream generated based on an MPEG standard in order to generate a re-coded stream having a different GOP (Group of Pictures) structure or bit rate.Specifically, a decoding device of a transcoder 106 decodes a source encoded stream to generate decoded video data and extracts past coding parameters superposed in the encoded stream as history_stream( ). In this case, the decoding device extracts the past coding parameters based on information superposed in the encoded stream as re_coding_stream_info( ).An encoding device receives the decoded video data and the past coding parameters and uses the past coding parameters to carry out an encoding process in a manner such that this process will not degrade image quality, thereby generating a re-coded stream. Further, the encoding device selects one of the past coding parameters which are optimal for an application connectively following the encoding device and describes only the selected past coding parameters in the encoded stream as history_stream( ). The encoding device superposes, as re_coding_stream_info( ), information indicating the selected past coding parameters so that the following application can properly extract the coding parameters for the history_stream( ) from the re-coded stream.

Method and system for structural similarity based rate-distortion optimization for perceptual video coding

There is disclosed a system and method for video coding, and more particularly to video coding that uses structural similarity (SSIM) based rate-distortion optimization methods to improve the perceptual quality of decoded video without increasing data rate, or to reduce the data rate of compressed video stream without sacrificing perceived quality of the decoded video. In an embodiment, the video coding system and method may be a SSIM-based rate-distortion optimization approach that involves minimizing a joint cost function defined as the sum of a data rate term and a distortion functions. The distortion function may be defined to be monotonically increasing with the decrease of SSIM and a Lagrange parameter may be utilized to control the trade-off between rate and distortion. The optimal Lagrange parameter may be found by utilizing the ratio between a reduced-reference SSIM model with respect to quantization step, and a data rate model with respect to quantization step. In an embodiment, a group-of-picture (GOP) level quantization parameter (QP) adjustment method may be used in multi-pass encoding to reduce the bit-rate while keeping similar perceptual video quality. In another embodiment, a frame level QP adjustment method may be used in single-pass encoding to achieve constant SSIM quality. In accordance with an embodiment, the present invention may be implemented entirely at the encoder side and may or may not require any change at the decoder, and may be made compatible with existing video coding standards.

Graphical user interface utilizing three-dimensional scatter plots for visual navigation of pictures in a picture database

A novel graphical user interface (GUI) using metadata, generates three-dimensional scatter plots (100, 200, 300, 400) for the efficient and aesthetic navigation and retrieval of pictures in a picture database. The first and second dimensions (102, 104, 202, 204, 302, 304, 402, 404) represent abscissas and ordinates corresponding to two picture characteristics chosen by the user. Distinguishing characteristics of icons (108-126, 208-230, 308-326, 408-430) in the scatter plot (100, 200, 300, 400), which icons represent groups of pictures, indicate the third dimension, also chosen by the user. In the preferred embodiment, the third dimension is indicated by the color of the icon (108-126, 208-230, 308-326, 408-430). Along with many other possibilities, the three dimensions of a scatter plot (100, 200, 300, 400) can represent combinations of “Who,”“What,”“When,”“Where,” and “Why” picture characteristic information contained in the picture metadata. Activating an icon (108-126, 208-230, 308-326, 408-430) produces a thumbnail of the pictures in the group represented by the particular icon (108-126, 208-230, 308-326, 408-430). Updating one display dimension dynamically updates the other display dimensions.

Network constructing method for human face identification, identification method and system

The invention discloses a deeper layer network constructing method used for gender identification or age estimation based on human face. The method includes a step (101) dividing all training pictures into a plurality of groups; (102) extracting high layer features of a group of pictures based on a convolution neural network and thereby obtaining a first matrix composed of the high layer feature vectors, and extracting low layer and global features of the same group of the training images based on an artificial neural network and thereby obtaining a second matrix composed of the low layer feature vectors, obtaining a group of gender identification or age estimation results based on the extract first matrix, the second matrix and the defined judgment formula, wherein the values of a first weight matrix W1, a second weight matrix w2, an offset matrix b and an adjusting weight beta in the defined judgment formula are updated by utilizing an error back propagation algorithm and the final values of the parameters are obtained and the network construction is completed. Judgment of age and gender of a human face is performed based on the judgment formula determined according to the values of the parameters when the network construction is completed.

P2P-based broadcast system and method using the same

The present invention is to disclose a peer-to-peer based broadcast system for broadcasting video contents, comprising at least one video head-end means for receiving a plurality of original video contents, said video head-end means comprising a splitter to split each original video content into a plurality of video files for each video file being formed of a group of pictures (GOPs) based on said GOPs' boundaries, and said video head-end means further comprising at least one content repository means for storing said video files corresponding to each of original video contents; at least one relay means for receiving and broadcasting some of said video files (190) from the video head-end means; a plurality of peers for receiving and broadcasting some of said video files; at least one super seed means for receiving said video files from said relay means and/or said peers, and broadcasting said files to some of said peers; at least one network management means for managing connections among said super seed means and said peers, said network management means comprising at least one tracking means for storing all required location information of said video files; and at least one system management means for providing authentication and authorization for clients on said peers to access to said P2P based broadcast system; wherein said each peer comprising a player for processing said video files so as to play said original video contents when said video files being received.
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products