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User-generated content on online social media (OSM) has several data mining applications, such as extracting useful information during disaster events. Since popular / important content is often re-posted by multiple people on OSM, identifying duplicate content is an important first step in many data mining applications. In this work, we develop a methodology to identify near-duplicate images posted...
Content-based video searching and retrieval is an upcoming and challenging issue. Efficient techniques for the analysis and retrieval of videos have become very important with the proliferation of digital video content. This paper outlines a technique to retrieve the matching videos from the video database, given a query clip. The key frames which are extracted at fixed time intervals from the videos...
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