Web Image Retrieval using Hashing Technique: A Survey

Dattatray Waghole, Rupesh Bagul, Sandeep Turai, Ashwini Dawlekar
2015 International Journal of Engineering Research and  
 Abstract-Web Image retrieval, is an effective approach to regain the effective results for image searched by the users with the help of queries. Which is used by the recent marketable search engines likes Bing, Google, and Internet Explorer and so on. First step is to retrieve the images from large databases based on the user queries in the form of Textual Information. And then, users select the images based on their textual queries but it is in the form of visual images pool. Those images
more » ... reranked in the web from an effective output for other users based on queries. The important challenge in the web images retrieval is not to predict exact output based on the user queries. To overcome the above challenge, the semantic signatures proposed for the effective output in the web images. But it fails to produce the matching efficiencies in the results. In this paper we investigate and to produce output efficiency we propose the keyword expansions technique for to describe suggestion classes preserve incorporate extra metadata and keep a record of data moreover the textual and image based features. For example, the co-occurrence in order of keywords or queries given by users is helpful and can be acquired in recorded data. In regulate to modernize the suggestion classes over time in an efficient way. And we also implement Hashing technique in this paper for matching efficiency in the output results web images. Our proposed technique is efficient when compared to the previously proposed schemes.
doi:10.17577/ijertv4is020855 fatcat:4hlbcnwllnb4zeqescf7odq7vy