A novel high performance multi-modal approach for content based image retrieval

Authors:
K. Bhandari;N. Dugar;N. Jain;N. Shetty
Affiliations:
Thakur College of Engineering & Technology, Mumbai;Thakur College of Engineering & Technology, Mumbai;Thakur College of Engineering & Technology, Mumbai;Thakur College of Engineering & Technology, Mumbai
Venue:
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Year:
2010

Citing 6
Cited 0

On the classification of image features

Pattern Recognition Letters
Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture features for content-based retrieval

Principles of visual information retrieval
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge and Corner Detection by Photometric Quasi-Invariants

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Image Matching with Distributions of Local Invariant Features

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02

Quantified Score

Hi-index	0.00

Visualization

Abstract

Retrieval of images based on visual features such as color, texture and shape have proven to have it's own set of limitations under different conditions. Various techniques have been implemented using these features like fuzzy color histogram, Tamura texture etc. In this paper we propose a novel method with highly accurate and retrieval efficient approach which will work on large image database with varied contents and background.