Presentation 2011-02-21
A note on keyword hierachy construction using visual features and its application to image annotation
Marie KATSURAI, Takahiro OGAWA, Miki HASEYAMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a keyword hierarchy construction method and its application to automatic image annotation. This method takes advantage of the characteristic that keywords with high-level semantic meaning tend to high visial diversity across the corresponding image set. Based on this characteristic, the keyword hierarchy is constructed by using the following approach: First, a visual feature clustering method is applied to a set of images that are annotated with a target keyword. Then, a novel criterion that represents visual diversity of the keyword is introduced. Specifically, this criterion is calculated using both intra-cluster and inter-cluster visual similarities. Finally, the keyword hierarchy can be constructed by sorting the keyword criterions. Based on the obtained keyword hierarchy, low-level keywords are first estimated from visual features, and then high-level keywords are provided by using semantic relationships of the low-level keywords. This will improve performance of image annotation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) keyword relationship extraction / automatic image annotation / visual diversity
Paper # ITS2010-35,IE2010-110
Date of Issue

Conference Information
Committee IE
Conference Date 2011/2/14(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 Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A note on keyword hierachy construction using visual features and its application to image annotation
Sub Title (in English)
Keyword(1) keyword relationship extraction
Keyword(2) automatic image annotation
Keyword(3) visual diversity
1st Author's Name Marie KATSURAI
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Takahiro OGAWA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Miki HASEYAMA
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2011-02-21
Paper # ITS2010-35,IE2010-110
Volume (vol) vol.110
Number (no) 421
Page pp.pp.-
#Pages 4
Date of Issue