Presentation 2014-05-23
Generalized Super-Vector coding for image classification
Motoki Nakajima, Xian-Hua Han, Yen-Wei Chen,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Semantic understanding of images remains an important research challenge in machine intelligence and statistical learning. This study mainly aims to explore a generalized feature extraction framework motivated by the popularly used Bag-of-feature (BOF) and super-vector coding using local descriptor (such as SIFT), which is intuitively time-consuming for computation. Compared to the uniformly quantized strategy such as the conventional color histogram, the proposed framework can represent the image more faithful and compact, and then lead to more discriminant representation for images. With the extracted adaptive statistics, a simple linear support vector machine (SVM), which is especially efficient for large-scale database, can be effectively utilized for achieving acceptable recognition performances. Our proposed strategy can achieve much better recognition performances than the conventional and the state-of-the art methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) RGB Color Histogram / Edge Histogram / Bag-Of-features / Super-Vector Cording / SVM
Paper # SIP2014-21,IE2014-21,PRMU2014-21,MI2014-21
Date of Issue

Conference Information
Committee IE
Conference Date 2014/5/15(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) Generalized Super-Vector coding for image classification
Sub Title (in English)
Keyword(1) RGB Color Histogram
Keyword(2) Edge Histogram
Keyword(3) Bag-Of-features
Keyword(4) Super-Vector Cording
Keyword(5) SVM
1st Author's Name Motoki Nakajima
1st Author's Affiliation Ritsumeikan University()
2nd Author's Name Xian-Hua Han
2nd Author's Affiliation Ritsumeikan University
3rd Author's Name Yen-Wei Chen
3rd Author's Affiliation Ritsumeikan University
Date 2014-05-23
Paper # SIP2014-21,IE2014-21,PRMU2014-21,MI2014-21
Volume (vol) vol.114
Number (no) 40
Page pp.pp.-
#Pages 5
Date of Issue