MediaMatrix: A video stream retrieval system with mechanisms for mining contexts of query examples

Shuichi Kurabayashi, Yasushi Kiyoki

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

7 Citations (Scopus)

Abstract

This paper presents a context-based whole video retrieval system that retrieves an entire video stream, not just individual scenes in videos. The main feature of this system is a novel query processing paradigm that involves data mining techniques to extract a query context, which is expressed as a combination of multiple videos. A query for this system consists of an example video and a context video. The example video is for representing the color-emotions hidden within video content, which are extracted using methods developed for color psychology research. The context video is for performing a context relevance computation between the example video and videos in a database. This paper demonstrates an implemented system that includes a SQL-like video stream query language and mechanisms for visualizing emotive contexts of a video stream.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings
Pages452-455
Number of pages4
EditionPART 2
DOIs
Publication statusPublished - 2010 Dec 28
Event15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 - Tsukuba, Japan
Duration: 2010 Apr 12010 Apr 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5982 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
CountryJapan
CityTsukuba
Period10/4/110/4/4

Keywords

  • Context-computing
  • Query language
  • Video search engine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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