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
Event10th IASTED International Conference on Software Engineering, SE 2011 - Innsbruck, Austria
Duration: 2011 Feb 152011 Feb 17

Other

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

Fingerprint

Color

Keywords

  • Multimedia database
  • Time-analyzer
  • Video Retrieval

ASJC Scopus subject areas

  • Software

Cite this

Hong, H. B., & Kiyoki, Y. (2011). A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer. In Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011 (pp. 116-121) https://doi.org/10.2316/P.2011.720-060

A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer. / Hong, Ha Bui; Kiyoki, Yasushi.

Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011. 2011. p. 116-121.

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

Hong, HB & Kiyoki, Y 2011, A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer. in Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011. pp. 116-121, 10th IASTED International Conference on Software Engineering, SE 2011, Innsbruck, Austria, 11/2/15. https://doi.org/10.2316/P.2011.720-060
Hong HB, Kiyoki Y. A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer. In Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011. 2011. p. 116-121 https://doi.org/10.2316/P.2011.720-060
Hong, Ha Bui ; Kiyoki, Yasushi. / A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer. Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011. 2011. pp. 116-121
@inproceedings{f41b7501fcb44f96b9d975135feba096,
title = "A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer",
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.",
keywords = "Multimedia database, Time-analyzer, Video Retrieval",
author = "Hong, {Ha Bui} and Yasushi Kiyoki",
year = "2011",
doi = "10.2316/P.2011.720-060",
language = "English",
isbn = "9780889868649",
pages = "116--121",
booktitle = "Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011",

}

TY - GEN

T1 - A Color-Content Based Video Retrieval system with a Time-Sequence Analyzer

AU - Hong, Ha Bui

AU - Kiyoki, Yasushi

PY - 2011

Y1 - 2011

N2 - "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.

AB - "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.

KW - Multimedia database

KW - Time-analyzer

KW - Video Retrieval

UR - http://www.scopus.com/inward/record.url?scp=79958089004&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958089004&partnerID=8YFLogxK

U2 - 10.2316/P.2011.720-060

DO - 10.2316/P.2011.720-060

M3 - Conference contribution

AN - SCOPUS:79958089004

SN - 9780889868649

SP - 116

EP - 121

BT - Proceedings of the 10th IASTED International Conference on Software Engineering, SE 2011

ER -