Content based image retrieval using visual-words distribution entropy

Authors:
Savvas A. Chatzichristofis;Chryssanthi Iakovidou;Yiannis S. Boutalis
Affiliations:
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
Venue:
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Year:
2011

Citing 17
Cited 0

An integrated color-spatial approach to content-based image retrieval

Proceedings of the third ACM international conference on Multimedia
Image Indexing Using Color Correlograms

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Histogram refinement for content-based image retrieval

WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Spatial Color Histograms for Content-Based Image Retrieval

ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Image retrieval based on color distribution entropy

Pattern Recognition Letters
Scalable Recognition with a Vocabulary Tree

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Image annotation by large-scale content-based image retrieval

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Speeded-Up Robust Features (SURF)

Computer Vision and Image Understanding
Descriptive visual words and visual phrases for image applications

MM '09 Proceedings of the 17th ACM international conference on Multimedia
Lightweight web image reranking

MM '09 Proceedings of the 17th ACM international conference on Multimedia
Img(Rummager): An Interactive Content Based Image Retrieval System

SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
Bag of visual words revisited: an exploratory study on robust image retrieval exploiting fuzzy codebooks

Proceedings of the Tenth International Workshop on Multimedia Data Mining
Automatic discovery of image families: global vs. local features

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
TOP-SURF: a visual words toolkit

Proceedings of the international conference on Multimedia
Dynamic two-stage image retrieval from large multimodal databases

ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Color and texture descriptors

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bag-of-visual-words (BOVW) is a representation of images which is built using a large set of local features. To date, the experimental results presented in the literature have shown that this approach achieves high retrieval scores in several benchmarking image databases because of their ability to recognize objects and retrieve near-duplicate (to the query) images. In this paper, we propose a novel method that fuses the idea of inserting the spatial relationship of the visual words in an image with the conventional Visual Words method. Incorporating the visual distribution entropy leads to a robust scale invariant descriptor. The experimental results show that the proposed method demonstrates better performance than the classic Visual Words approach, while it also outperforms several other descriptors from the literature.