Bilkent university at TRECVID 2006

Files

Bilkent university at TRECVID 2006.pdf (1.62 MB)

Date

2006-11

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

2006 TREC Video Retrieval Evaluation 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
6
downloads

Series

Abstract

We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common development collection. Only visual and textual information were used where visual information consisted of color, texture and edge-based low-level features and textual information consisted of the speech transcript provided in the collection.

Course

Other identifiers

Book Title

Keywords

Feature extraction, Edge-based, High-level feature extractions, Interactive search, Low-level features, Speech transcripts, Textual information, Video retrieval, Visual information, Image retrieval

Degree Discipline

Degree Level

Degree Name

Citation

Permalink

http://hdl.handle.net/11693/27258

Published Version (Please cite this version)

Collections

Scholarly Publications - Computer Engineering