INDEXING AND RETRIEVAL SYSTEM FOR SPEECH ANNOTATED DIGITAL IMAGES

The abundant growth in use of digital camera and mobiles for picture has created huge storage requirements. The problem can be solved by constantly transferring it to hard drive of a computer or cloud. But indexing and retrieval system for digital pictures has become a known and vital problem. Most recently, automatic voice recognition technology, speech gloss and retrieval have given an option to retrieve them. Also predictable strategy for existing photograph ordering, recovery methods and repetitive work of manual writing is supplanted. Image annotation to enhance web photo search and image control is most preferred nowadays. In speech annotation and retrieval, a hybrid mechanism is utilized to assimilate picture like styles, syllables, words and characters. In the proposed system, speech annotated technique is used to provide the appropriate image for more number of search results. This technique has two processes to perform: firstly, offline process where words are trained using volume package and these trained words are stored in database, secondly, online process, content based refining is done on color, shape and texture.