no code implementations • CVPR 2015 • Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Qi Tian
However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query.
no code implementations • 3 Jun 2014 • Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian
This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search.
no code implementations • CVPR 2014 • Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
Specifically, we exploit the fusion of local color feature into c-MI.
no code implementations • CVPR 2013 • Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
Further, by counting for the term-frequency in each image, the proposed L p -norm IDF helps to alleviate the visual word burstiness phenomenon.