A STUDY AND SURVEY ON CONTENT-BASED IMAGE RETRIEVAL USING LOW LEVEL FEATURES FOR MOBILE DEVICES

In the arena of Image Processing, Image Retrieval has developed one of the greatest dynamic research parts in the previous few years. The image retrieval is interesting and fastest developing methodology in all the fields. It is effective and well-organized approach for retrieving the image from large image scale database. Content based Image retrieval (CBIR) means search the contents of the image rather than the information and capture images from database as per the user’s requirement. In Content based Image Retrieval (CBIR), images are retrieved by their visual content such as color, texture and shapes. It is a technique to take input as query object and gives output from an image database. Mobile image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. Modern multimedia mobile devices are prepared with camera and higher storage abilities; this desires the need of effective multimedia content management concluded in several networks. In this paper surveys have been conducted on some CBIR features such as color, texture and shape retrieval of images from the large-scale image database and also study to compare content-based image retrieval features like color, texture and shape for efficient and accurate image retrieval on mobile devices. After going through comprehensive analysis of CBIR techniques so this paper gives A study and survey on content-based image retrieval using low level features for mobile devices. Page No. 42 summarization of the different features like color, texture and shape of images with their functionality for content-based image retrieval systems (CBIR).