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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 452-455 |
| Number of pages | 4 |
| Volume | 5982 LNCS |
| Edition | PART 2 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 - Tsukuba, Japan Duration: 2010 Apr 1 → 2010 Apr 4 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 5982 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 |
|---|---|
| Country | Japan |
| City | Tsukuba |
| Period | 10/4/1 → 10/4/4 |
Fingerprint
Keywords
- Context-computing
- Query language
- Video search engine
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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 proceeding › Conference contribution
}
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
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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 -