Layer Transmission Of Video Stream And Recognition Of Text Pattern In Stream

The video application based on networks became more popular according to improvement of the technology and resource of network, and requirement for new technology of video transmission via network is imminent. Improving the quality of transmission in network became an active field of research currently. On the other hand, how to index the content of video information exactly and efficiently is a very attractive region of research with the information based on video increasing quickly, and it is a very potential method that indexing content with utilizing the text information in video streams.There are two research works is involved in this thesis. First, an algorithm of data reconstruction in videos and images is proposed. Base on this reconstruction technology, we developed the precept of layer coding in sender, the structure of data stream and the precept of post processing in receiver with analyzing the scheme of real time transmission of video in network. The successful application of based on this technology in block effect reduction of transform coding is also introduced in this paper. Secondly, we researched the detection and recognition technology of text information in video stream, and corresponding realization method is proposed. The technology showed great effect while utilized in real application.With the research on real time transmission of video, we take some progress as follows. At the receiver, we analyzed the problem with reconstruction of information lost in image sub-block based on transform coding of image, and a technology of lost information reconstruction with corresponding fast algorithm of sub-block information reconstruction based on the boundary information of image sub-block is proposed . At the same time, we applied this method into reduction of block effects in transform coding successfully. Based on this technology of reconstruction, we analyzed the transmit characteristic of ATM and packet switching network, then project of layer coding in sender and format of video stream is proposed respectively. At the receiver, the method of lost information reconstruction was proposed for the problem of packet or cell lost in transmission.The research work on detection and recognition of text in video stream includes 3 technologies: 1, the detection and location of the text region invideo stream; 2, the segment and detection of the target character in the text region; 3, recognition of the text information. In this paper, we do some contribution on both 3 regions. With the study of the signal features of text information in general video and image, we developed a recognition model. With the detection of the text region, we produced a detection model and its achieving method with the global and local texture characteristic of text region based on the technology of multi-resolution analysis in theory of wavelet with blur image in multi-scale. With the character object detection, we developed a detection model of general object based on some regularity and a detection technique ot character object in the image is proposed with the regularity of spatial distribution. A fast algorithm is introduced for detection of character object which utilizing the distance generate matrix. In character recognition, we proposed a concept of 'rough skeleton', and developed a technique of skeleton extracting based on non-thinning process of characters via three steps: character discomposed based component, local skeleton extraction and global skeleton connection. Then utilized these skeleton to form a description with the feature of strokes and stroke structure based on the theory and method of graph theory, and fuzzy recognition technique is introduced to achieve character recognition with excellent robust.