Extraction Of Features For Indexing Mpeg-Compressed Video

Development of various multimedia applications is dependent on the availability of fast and efficient storage, browsing, indexing, and retrieval techniques. Given that video is stored efficiently in a compressed format, the costly overhead of decompression can be avoided by analyzing the compressed representation directly. In this paper, we describe techniques that can be used to extract viable features for indexing shots of video directly from the compressed domain. We develop a type independent representation of frames present in an MPEG video and show how it can be used for directly for indexing. INTRODUCTION As video becomes a more popular means of recording and archiving dynamic scene information, we require the ability to automatically index and search for relevant material stored in large video databases. A typical solution to the problem of indexing and archiving video for retrieval requires parsing the video, extracting key information from each clip (possibly a "key" frame)..

MPEG-2 Compressed-Domain Algorithms for Video Analysis

<p/> <p>This paper presents new algorithms for extracting metadata from video sequences in the MPEG-2 compressed domain. Three algorithms for efficient low-level metadata extraction in preprocessing stages are described. The first algorithm detects camera motion using the motion vector field of an MPEG-2 video. The second method extends the idea of motion detection to a limited region of interest, yielding an efficient algorithm to track objects inside video sequences. The third algorithm performs a cut detection using macroblock types and motion vectors.</p

Video abstraction : a systematic review and classification

The demand for various multimedia applications is rapidly increasing due to the recent advance in the computing and network infrastructure, together with the widespread use of digital video technology. Among the key elements for the success of these applications is how to effectively and efficiently manage and store a huge amount of audio visual information, while at the same time providing user-friendly access to the stored data. This has fueled a quickly evolving research area known as video abstraction. As the name implies, video abstraction is a mechanism for generating a short summary of a video, which can either be a sequence of stationary images (keyframes) or moving images (video skims). In terms of browsing and navigation, a good video abstract will enable the user to gain maximum information about the target video sequence in a specified time constraint or sufficient information in the minimum time. Over past years, various ideas and techniques have been proposed towards the effective abstraction of video contents. The purpose of this article is to provide a systematic classification of these works. We identify and detail, for each approach, the underlying components and how they are addressed in specific works. &Acirc;&copy; 2007 ACM