Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...

Nowadays the huge amount of video material stored in multimedia repositories makes the search and retrieval of such content a very slow and usually difficult task. The existing video abstraction systems aim to ease the multimedia access problem by providing short versions of the original content which ease the search and navigation process by reducing the time spent in content browsing. There a...

This chapter introduces Video Abstraction, which is a short representation of an original video, and widely used in video cataloging, indexing, and retrieving. It provides a general view of video abstraction and presents different methods to produce various video abstracts. Also, it discusses a new approach to obtain a video abstract called video digest that uses the closed-caption information ...

This paper addresses automatic scene change detection, key-frame selection, and similarity ranking which constitute the main steps of a content-based video abstraction system. Unlike other methods, the proposed algorithm performs scene change detection and key-frame selection in one step. We treat scene change detection as a two-class classiication problem and employ automatic threshold selecti...

Video abstraction can be useful in multimedia database indexing and querying and can illustrate the important content of a longer video to quick browsing. Further, in sports video, replay scene often demonstrates the highlight of the video. The detection of replay scene in the sports video is a key clue to sports video summarizing. In this paper, we present a framework of replay scene based vid...