Circular Reranking for Visual Search

  title={Circular Reranking for Visual Search},
  author={Ting Yao and Chong-Wah Ngo and Tao Mei},
  journal={IEEE Transactions on Image Processing},
Search reranking is regarded as a common way to boost retrieval precision. The problem nevertheless is not trivial especially when there are multiple features or modalities to be considered for search, which often happens in image and video retrieval. This paper proposes a new reranking algorithm, named circular reranking, that reinforces the mutual exchange of information across multiple modalities for improving search performance, following the philosophy that strong performing modality could… CONTINUE READING
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