Downloads: 132
Review Papers | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016
Shared Image Privacy Preserving Using Adaptive Prediction
Mohini Shinde | Tanuja Dhope [5]
Abstract: Now images are one of the key enablers of users connectivity. With increasing volume of the images users share through social sites, maintaining privacy has become a major problem. In light of these incidents, the need of tools to help users control access to their shared content is apparent. An Adaptive Privacy Policy Prediction (A3P) system helps users to compose privacy settings for their images. A two-level framework which according to the users available history on the site, determines the best available privacy policy for the users images being uploaded. A3P system aims to provide users a hassle free privacy settings experience by automatically generating personalized policies. The A3P system provides a comprehensive framework to infer privacy preferences based on the information available for a given user.
Keywords: Adaptive Privacy Policy Prediction A3P, Online social networks OSNs, Content Based Image Retrieval CBIR
Edition: Volume 5 Issue 1, January 2016,
Pages: 435 - 437
Similar Articles with Keyword 'Content Based Image Retrieval CBIR'
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Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 2407 - 2409A Review on Content-Based Image Retrieval from Videos using Self Learning Object Dictionary
Vrushali A. Wankhede | Prakash S. Mohod
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Review Papers, Computer Science & Engineering, India, Volume 5 Issue 3, March 2016
Pages: 60 - 64Relevance Preserving Projection and Ranking for Web Image Search Reranking With Hierarchical Topic Awareness
Pallavi Wathore | P. B. Bhalerao [4]