论文信息 - Increasing Cluster Recall of Cross-modal Image Retrieval

Increasing Cluster Recall of Cross-modal Image Retrieval

We describe our approach to the ImageCLEF Photo and WikiMediaMM 2008 tasks. The novelty of our method consists of combining image segment based image retrieval with our text based approach. We rank text hits by our own Okapi BM25 based information retrieval system and image similarities by using a feature vector describing the visual content of image segments. Images were segmented by a home developed segmenter. We use automatic query expansion by adding new terms from the top ranked documents. Queries were generated automatically from the title and the downweighted description words.

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