Multimodality Fusion Based On Local Binary PatternLBP For Image Retrieval
Journal: International Journal of Scientific & Technology Research (Vol.3, No. 11)Publication Date: 2014-11-15
Authors : Vaishali Khobragade; Leena H. Patil;
Page : 7-9
Keywords : Key items Feature extraction and matching; text and visual field; k means; lbp;
Abstract
Abstract Images are being used since many years in all spheres including Forces Treatment of injuries and diseases etc. But in the past few years number of images has increased in huge amount due to the growth of web database. So in vast and varied collection users of different domains face a problem of retrieving images relevant to the user query. The semantic association rules mining is constructed at the offline phase where the association rules are discovered between the text semantic clusters and the visual clusters of the images to use it later at the offline phase. Multimodal will refer to the ability to represent process and analyze two data modalities simultaneously textual keywords or unstructured images.
Other Latest Articles
- Development And Installation Of Battery-Powered Electric Vehicle Wiring System
- Pivotal Sentiment Tree Classifier
- Morphological Variation Of The Tanzanian Tailed Net-Winged Beetle Lycus Trabeatus Gurin-Mneville Coleoptera Lycidae Connotes Subspecific Delimitation
- Designing Campaign Message Through The Main Visual Elements In Character Animation
- Virulence Factors Of Uropathogenic Proteus Mirabilis - A Mini Review
Last modified: 2015-06-28 04:03:31