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Type: Artigo de periódico
Title: Online video summarization on compressed domain
Author: Almeida, J
Leite, NJ
Torres, RD
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.
Subject: Video abstraction
Video summary
Video skimming
Compressed domain
Progressive generation
Online processing
BBC rushes summarization
Country: EUA
Editor: Academic Press Inc Elsevier Science
Citation: Journal Of Visual Communication And Image Representation. Academic Press Inc Elsevier Science, v. 24, n. 6, n. 729, n. 738, 2013.
Rights: fechado
Identifier DOI: 10.1016/j.jvcir.2012.01.009
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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