A semantic model for flash retrieval using co-occurrence analysis

Dawei Ding; Qing Li; Bo Feng; Liu Wenyin

A semantic model for flash retrieval using co-occurrence analysis

Dawei Ding
, Qing Li
, Bo Feng
, Liu Wenyin

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

7 Citations (Scopus)

Abstract

Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.

Original language	English
Pages	239-242
Number of pages	4
Publication status	Published - 1 Dec 2003
Externally published	Yes
Event	2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03 - Berkeley, CA., United States Duration: 4 Nov 2003 → 6 Nov 2003

Conference

Conference	2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03
Country/Territory	United States
City	Berkeley, CA.
Period	4/11/03 → 6/11/03

Keywords

Co-occurrence analysis
Composition matrix
Flash retrieval
Query expansion
Relevance ranking

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "A semantic model for flash retrieval using co-occurrence analysis",

abstract = "Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.",

keywords = "Co-occurrence analysis, Composition matrix, Flash retrieval, Query expansion, Relevance ranking",

author = "Dawei Ding and Qing Li and Bo Feng and Liu Wenyin",

year = "2003",

month = dec,

day = "1",

language = "English",

pages = "239--242",

note = "2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03 ; Conference date: 04-11-2003 Through 06-11-2003",

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A semantic model for flash retrieval using co-occurrence analysis. / Ding, Dawei; Li, Qing; Feng, Bo et al.
2003. 239-242 Paper presented at 2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03, Berkeley, CA., United States.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - A semantic model for flash retrieval using co-occurrence analysis

AU - Ding, Dawei

AU - Li, Qing

AU - Feng, Bo

AU - Wenyin, Liu

PY - 2003/12/1

Y1 - 2003/12/1

N2 - Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.

AB - Flash is experiencing a breathtaking growth and has become one of the prevailing media formats on the Web. Our goal is to exploit the enormous Flash resources by developing a model of content-based Flash retrieval. Towards this end, we introduce a novel approach for discovering semantic relationships among the co-occurrence patterns of elements in Flash movies. The proposed approach includes a three-layered structure to index the Flash movie, a query expansion procedure to improve the recall performance, and a relevance ranking procedure utilizing link analysis to improve the precision performance of Flash retrieval. Experiments show the potential of leveraging co-occurrence analysis of elements in the context of scenes for improving the performance of Flash retrieval.

KW - Co-occurrence analysis

KW - Composition matrix

KW - Flash retrieval

KW - Query expansion

KW - Relevance ranking

UR - https://www.scopus.com/pages/publications/2342655685

M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:2342655685

SP - 239

EP - 242

T2 - 2003 Multimedia Conference - Proceedings of the 11th ACM International Conference on Multimedia, MM'03

Y2 - 4 November 2003 through 6 November 2003

ER -

A semantic model for flash retrieval using co-occurrence analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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