Overview of Scene Change Detection- Application to <s> INTRODUCTION <s> In order to manage the growing amount of video information efficiently, a video scene change detection method is necessary. Many advanced video applications such as video on demand (VOD) and digital library also require the scene change detection to organize the video content. In this paper, we present an effective scene change detection method using an unsupervised segmentation algorithm and the technique of object tracking based on the results of the segmentation. Our results have shown that this method can perform not only accurate scene change detection, but also obtain object level information of the video frames, which is very useful for video content indexing and analysis. <s> BIB001 </s> Overview of Scene Change Detection- Application to <s> INTRODUCTION <s> In this paper, we present a new framework to automatically group similar shots into one scene, where a scene is generally referred to as a group of shots taken place in the same site. Two major components in this framework are based on the motion characterization and background segmentation. The former component leads to an effective video representation scheme by adaptively selecting and forming keyframes. The later is considered novel in that background reconstruction is incorporated into the detection of scene change. These two components, combined with the color histogram intersection, establish our basic concept on assessing the similarity of scenes. <s> BIB002
Detection of scene changes play important roles in video processing with many applications ranging from watermarking, video indexing, video summarization to object tracking and video content management. Scene change detection is an operation that divides video data into physical shots BIB001 . Over the last three decades, scene change detection has been widely studied and researched. As a result, many scene change detection techniques have been proposed and published in the literature. For our convenience of surveying existing research in this subject area, all these algorithms and techniques can be broadly classified as operating on decompressed data (pixel domain), or working directly on the compressed data (compressed domain)  . Scene changes are divided into two types: Abrupt scene change and Gradual scene change. Abrupt scene changes result from editing "cuts" and detecting them is called cut detection either by colour histogram comparison on the uncompressed video or by DCT coefficient comparison. Gradual scene changes result from chromatic edits, spatial edits and combined edits. Gradual scene changes include special effects like zoom, camera pan, dissolve and fade in/out, etc BIB002 .