Camera motion analysis towards semantic-based video retrieval in compressed domain

Ying Weng, Jianmin Jiang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

To reduce the semantic gap between low-level visual features and the richness of human semantics, this paper proposes new algorithms, by virtue of the combined camera motion descriptors with multi-threshold, to automatically retrieve the semantic concepts, i.e., close-up, and panorama, directly in MPEG compressed domain based on camera motion analysis. Extensive experiments illustrate that the proposed algorithms provide promising retrieval results under real-time application scenario and without human intervention.

Original languageEnglish
Title of host publicationSemantic Multimedia - Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, Proceedings
PublisherSpringer Verlag
Pages276-279
Number of pages4
ISBN (Print)9783540770336
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2nd International Conference on Semantics and Digital Media Technologies, SAMT 2007 - Genoa, Italy
Duration: 5 Dec 20077 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4816 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Semantics and Digital Media Technologies, SAMT 2007
Country/TerritoryItaly
CityGenoa
Period5/12/077/12/07

Keywords

  • Camera motion analysis
  • MPEG compressed domain
  • Semantic-based video retrieval

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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