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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages452-455
Number of pages4
Volume5982 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2010
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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Mining
Retrieval
Query
Color
Query languages
Query processing
Data mining
Video Retrieval
Query Language
Query Processing
Context
Data Mining
Paradigm
Entire
Demonstrate

Keywords

  • Context-computing
  • Query language
  • Video search engine

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kurabayashi, S., & Kiyoki, Y. (2010). MediaMatrix: A video stream retrieval system with mechanisms for mining contexts of query examples. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5982 LNCS, pp. 452-455). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5982 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-12098-5_48

MediaMatrix : A video stream retrieval system with mechanisms for mining contexts of query examples. / Kurabayashi, Shuichi; Kiyoki, Yasushi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5982 LNCS PART 2. ed. 2010. p. 452-455 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5982 LNCS, No. PART 2).

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

Kurabayashi, S & Kiyoki, Y 2010, MediaMatrix: A video stream retrieval system with mechanisms for mining contexts of query examples. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5982 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5982 LNCS, pp. 452-455, 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, Tsukuba, Japan, 10/4/1. https://doi.org/10.1007/978-3-642-12098-5_48
Kurabayashi S, Kiyoki Y. MediaMatrix: A video stream retrieval system with mechanisms for mining contexts of query examples. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5982 LNCS. 2010. p. 452-455. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-12098-5_48
Kurabayashi, Shuichi ; Kiyoki, Yasushi. / MediaMatrix : A video stream retrieval system with mechanisms for mining contexts of query examples. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5982 LNCS PART 2. ed. 2010. pp. 452-455 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
@inproceedings{38403b96cb8a48e7abd45a3b2bf5dd28,
title = "MediaMatrix: A video stream retrieval system with mechanisms for mining contexts of query examples",
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.",
keywords = "Context-computing, Query language, Video search engine",
author = "Shuichi Kurabayashi and Yasushi Kiyoki",
year = "2010",
doi = "10.1007/978-3-642-12098-5_48",
language = "English",
isbn = "3642120970",
volume = "5982 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "452--455",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 2",

}

TY - GEN

T1 - MediaMatrix

T2 - A video stream retrieval system with mechanisms for mining contexts of query examples

AU - Kurabayashi, Shuichi

AU - Kiyoki, Yasushi

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Context-computing

KW - Query language

KW - Video search engine

UR - http://www.scopus.com/inward/record.url?scp=78650492207&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650492207&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-12098-5_48

DO - 10.1007/978-3-642-12098-5_48

M3 - Conference contribution

SN - 3642120970

SN - 9783642120978

VL - 5982 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 452

EP - 455

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -