Bilkent University at TRECVID 2007

Files

Bilkent University at TRECVID 2007.pdf (223.34 KB)

Date

2007

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

TRECVID 2007 workshop participants notebook papers

Print ISSN

Electronic ISSN

Publisher

National Institute of Standards and Technology

Volume

Issue

Pages

Language

English

Type

Conference Paper

Journal Title

Journal ISSN

Volume Title

Attention Stats
Usage Stats
1
views
5
downloads

Series

Abstract

We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common development collection. Only visual information, consisting of color, texture and edge-based low-level features, was used.

Course

Other identifiers

Book Title

Keywords

Feature extraction, Edge-based, High-level feature extractions, Low-level features, TRECVID, Video retrieval, Visual information, Image retrieval

Degree Discipline

Degree Level

Degree Name

Citation

Permalink

http://hdl.handle.net/11693/27128

Published Version (Please cite this version)

Collections

Scholarly Publications - Computer Engineering