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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015 | Rating: 6.6 / 10
Survey on Privacy Preservation in Content Based Information Retrieval
Bhagyashree V. Khapli | Manjushri A. Mahajan
Abstract: Content based information retrieval is latest versions of the Information retrieval system in which content is used for information retrieval. Content can be image, audio snippet, video clip and Content based information retrieval will give related respective information. There are many applications of the Content based information retrieval. First is Google goggle which is Image search engine, flip karts android application also launched its image searching. You-tube applied Content based information retrieval system for content identification system. Before uploading any video it checks the similar video present in database or not. CBIR system comprises of multiple parties. User sends content i. e. image or video or audio snippet as query to the CBIR system. Other parties in the system may use these queries to model the profile of the user. One more point is that if content is sensitive and user dont wants to reveal this query to CBIR server then there is need of privacy preservation. This paper addresses the privacy preservation issue of the. Content based information retrieval. This paper describes the proposed approaches in the literature to preserve the privacy of Content based information retrieval system. In recent Content based information retrieval system one important problem us that both client and server sides are loaded with the same tasks. One approach to solve this problem will be outsource the common tasks to the third party is such way that privacy should also preserved. Different types of Approximate nearest neighbor techniques proposed in the recent years. Recent of Approximate nearest neighbor techniques can be used to improve the existing privacy preserving content based information retrieval systems.
Keywords: Content Based Information Retrieval System, CBIR, PCBIR, Approximate nearest neighbor techniques
Edition: Volume 4 Issue 10, October 2015,
Pages: 2144 - 2147