The Hong Kong Polytechnic University at TRECVID 2007 BBC rushes summarization

Yang Liu, Yan Liu, Yan Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose the framework and methodology for BBC rushes summarization task of TRECVID 2007. We divide the entire task into three sub-tasks: shot segmentation; noise shot detection and removal; video summarization. We first segment the rushes to a set of video shots based on the accumulative difference between the consecutive frames. In the second sub-task, we classify the noise video shots to several categories and detect them individually using different feature space. A novel audio-based method has been proposed to detect the video shots including clapper board noise. Thirdly, we extract the most representative video clips from the useful video shots and remove the redundant ones by comparing the similarity. We analyze the performance of these methods, and demonstrate them in the BBC rushes summarization task.

Original languageEnglish
Title of host publicationProceedings of the International Workshop on TRECVID Video Summarization, TVS '07, Co-located with the ACM Multimedia 2007, MM'07
Pages50-54
Number of pages5
Publication statusPublished - 1 Dec 2007
Event1st TRECVID Video Summarization Workshop, TVS'07, Co-located with the ACM Multimedia 2007, MM'07 - Augsburg, Bavaria, Germany
Duration: 23 Sep 200729 Sep 2007

Publication series

NameProceedings of the International Workshop on TRECVID Video Summarization, TVS '07, Co-located with the ACM Multimedia 2007, MM'07

Conference

Conference1st TRECVID Video Summarization Workshop, TVS'07, Co-located with the ACM Multimedia 2007, MM'07
Country/TerritoryGermany
CityAugsburg, Bavaria
Period23/09/0729/09/07

Keywords

  • audio transient
  • BBC rushes summarization
  • clapper board noise detection
  • video rushes editing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Media Technology

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