Paper Info
Title
Online video summarization on compressed domain.
Abstract
Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data to be accessed in a user-friendly way. Ideally, one would like to understand a video content, without having to watch it entirely. This has been the goal of a quickly evolving research area known as video summarization. In this paper, we present a novel approach for video summarization that works in the compressed domain and allows the progressive generation of a video summary. The proposed method relies on exploiting visual features extracted from the video stream and on using a simple and fast algorithm to summarize the video content. Experiments on a TRECVID 2007 dataset show that our approach presents high quality relative to the state-of-the-art solutions and in a computational time that makes it suitable for online usage. (C) 2012 Elsevier Inc. All rights reserved.
Year
DOI
Venue
2013
10.1016/j.jvcir.2012.01.009
Journal of Visual Communication and Image Representation
Keywords
Field
DocType
Video abstraction,Video summary,Video skimming,Compressed domain,Progressive generation,Online processing,TRECVID 2007,BBC rushes summarization
Computer science,Smacker video,Artificial intelligence,Video compression picture types,Automatic summarization,Computer vision,Video processing,Information retrieval,TRECVID,Video tracking,Online video,Multimedia,Online processing
Journal
Volume
Issue
ISSN
24
6
1047-3203
Citations 
PageRank 
References 
29
0.86
36
Authors
3
Name
Order
Citations
PageRank
Jurandy Almeida143135.15
Neucimar Jerônimo Leite241829.45
Ricardo da Silva Torres378761.46