International Journal on Web Service Computing (IJWSC)
ISSN: 0976 - 9811 (Online); 2230 - 7702 (Print)
Webpage URL: https://airccse.org/journal/jwsc/ijwsc.html
Web Image Retrieval Using Visual Dictionary
Umesh K K1 and Suresha2, 1 S J College of Engineering, India and 2Mysore University, India
Abstract
In this research, we have proposed semantic based image retrieval system to retrieve set of relevant images for the given query image from the Web. We have used global color space model and Dense SIFT feature extraction technique to generate visual dictionary using proposed quantization algorithm. The images are transformed into set of features. These features are used as inputs in our proposed Quantization algorithm for generating the code word to form visual dictionary. These codewords are used to represent images semantically to form visual labels using Bag-of-Features (BoF). The Histogram intersection method is used to measure the distance between input image and the set of images in the image database to retrieve similar images. The experimental results are evaluated over a collection of 1000 generic Web images to demonstrate the effectiveness of the proposed system.
Keywords
Content-based image retrieval, Dense SIFT feature, Quantization, Bag-of-Features, Bag-of-Words, Similarity measure
Original Source URL: https://airccse.org/journal/jwsc/papers/3312ijwsc07.pdf
Volume URL: https://airccse.org/journal/jwsc/current2012.html
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