Presentation 2010-02-15
A Study on Quantitative Evaluation of Associative Video Retrieval Based on Perceptual Grouping
Ryota TOKUMOTO, Miki HASEYAMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a quantitative evaluation of associative video retrieval results based on perceptual grouping. We have previously proposed an associative video retrieval system for providing the videos desired by users even if users don't have specific queries. However, the traditional method does not include a quantitative evaluation. Therefore, the proposed method defines the model to evaluate the associative video retrieval results. We regard group of videos as perceptual grouping through the model, its quantitative values are calculated. Furthermore, we define a value to evaluate an effectiveness of the associate video retrieval results using the quantitative values. Consequently, we achieve the effective quantitative evaluation of the associative video retrieval results by comparing the evaluation values.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Associative Search / Video Retrieval / Quantitative Evaluation / Perceptual Grouping
Paper # ITS2009-57,IE2009-151
Date of Issue

Conference Information
Committee ITS
Conference Date 2010/2/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Quantitative Evaluation of Associative Video Retrieval Based on Perceptual Grouping
Sub Title (in English)
Keyword(1) Associative Search
Keyword(2) Video Retrieval
Keyword(3) Quantitative Evaluation
Keyword(4) Perceptual Grouping
1st Author's Name Ryota TOKUMOTO
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2010-02-15
Paper # ITS2009-57,IE2009-151
Volume (vol) vol.109
Number (no) 414
Page pp.pp.-
#Pages 4
Date of Issue