Learning Optimal Compact Codebook for Efficient Object Categorization

Authors:
Teng Li;Tao Mei;In So Kweon
Affiliations:
Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea, tengli@rcv.kaist.ac.kr;Microsoft Research Asia, Beijing 100080, P. R. China, tmei@microsoft.com;Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea, iskweon@kaist.ac.kr
Venue:
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Year:
2008

Citing 0
Cited 6

On vocabulary size in bag-of-visual-words representation

PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
An approach to the compact and efficient visual codebook based on SIFT descriptor

PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Towards a universal and limited visual vocabulary

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Image matching based on representative local descriptors

MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
A Review of Codebook Models in Patch-Based Visual Object Recognition

Journal of Signal Processing Systems
An experimental study on the universality of visual vocabularies

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today with the rapid increasing popularity of web video sharing, digital copyright protection encounters many troubles. Video copy detection schemes are emerging to cope with the digital video piracy and illegal distribution problems. But the large amount ...