Video Content Description and Indexing

• Main Authors: Shin-Tzer Lee, 李新澤
• Other Authors: Suh-Yin Lee
• Format: Others
• Language: en_US
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/30515580097516245637

碩士 === 國立交通大學 === 資訊工程系 === 88 === The recent rapid proliferation of multimedia content is increasing the need for efficient methods for searching, indexing, and managing multimedia. Therefore, content-based queries and indexing is more important in the future. The MPEG group recently established the MPEG-7 effort to standardize the multimedia content interface. The proposed interface will bridge the gap between various types of content meta-data, such as content features, annotations, relationships, and the search engines. Video is very popular today. Digital video is become the rising tide of multimedia, like MPEG-1 and MPEG-2. The amount of video data is increasing quickly. Thus indexing and cataloging of digital videos are more and more important. The best way for indexing and cataloging the video data is by its content. In the past, we most describe and annotate the content of video manually. But this traditional solution is not suitable for the enormous amount of video data. We must find a method that can generate the summary and description automatically, and provide an efficient and flexible method to illustrate the video content for users. In this paper, our system is divided into two parts. In the first part, we want to extract the summary of video content. We use many video summary technologies, special in the motion vector research, and want to get the more meaningful summary about the video content. We use MPEG-2 video stream to be our original video stream. We want to get more meaningful summary stream from the original video stream. At the same time, we will extract the important features of the summary, and use these features to represent this summary. The second part is that we use XML technology to generate extensible description schemes (DSs). Following this DSs, we can generate the descriptors (Ds) of the summary. When these descriptors are produced, we can use these descriptors to index and catalog these videos. Our indexing and cataloging results may be more reasonable and meaningful about the video content. We implement a system that can provide browsing and query functions for the users. Users can browse a video content from WWW and download these videos that they are interested. Our main purpose is to put summarizing and describing procedures together. Generating the summary and descriptors concurrently. Our solutions are closer to the principle of automatism and uniformity.