RGU at ImageCLEF2010 Wikipedia Retrieval Task

Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retrieval function on cross media retrieval. Instead of heuristically combining the ranking scores independently from different media types, we develop a tensor product based model to represent textual and visual content features of an image as a non-separable composite system. Such system incorporates the statistical/semantic dependencies between certain features. Then the ranking scores of the images are computed in a way as quantum measurement does. Meanwhile, we also test a new local feature that we have developed for content based image retrieval.

• Type: Conference
• Year: 2010
• Where: CLEF
• Authors: Jun Wang, Dawei Song, Leszek Kaliciak
• Keywords: CLEF 2010, Cross Media Retrieval, Information Technology, Ranking Scores, Theory Inspired Retrieval