A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer

Ha Bui Hong, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

"Color Content Based Video Retrieval System with a Time Sequence Analyzer" (CCBIR-TSA) is a video retrieval system based on color features and supported by a time-sequence analyzer. In our system, the query is a sample video or a sequence of sample images, and the result is the video that has scenes with the similar color features. Our time-sequence analyzer guarantees that the resulting video has similar scenes, which appear in the same order as the sample scenes in the query. In order to implement a time-sequence analyzer, our system extracts color feature vectors of each frame in the videos and transforms video frames into comparable sequences of color feature vectors. Traditional "Longest Common Subsequence" algorithm (LCS) is applied to calculate the longest match between extracted frame sequences and video data content.

Original languageEnglish
Title of host publicationProceedings of the 10th IASTED International Conference on Software Engineering, SE 2011
Pages116-121
Number of pages6
DOIs
Publication statusPublished - 2011 Jun 13
Event10th IASTED International Conference on Software Engineering, SE 2011 - Innsbruck, Austria
Duration: 2011 Feb 152011 Feb 17

Publication series

NameProceedings of the 10th IASTED International Conference on Software Engineering, SE 2011

Other

Other10th IASTED International Conference on Software Engineering, SE 2011
Country/TerritoryAustria
CityInnsbruck
Period11/2/1511/2/17

Keywords

  • Multimedia database
  • Time-analyzer
  • Video Retrieval

ASJC Scopus subject areas

  • Software

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