Scalable mobile search with binary phrase

Authors:
Qingjun Luo;Shiliang Zhang;Tiejun Huang;Wen Gao;Qi Tian
Affiliations:
Peking University, Beijing, China;Texas State University, Texas, TX;Peking University, Beijing, China;Peking University, Beijing, China;Texas State University, Texas, TX
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Rapidly growing popularity of mobile devices has provided an important platform for image search. Compared with traditional large-scale image search, mobile image search is more sensitive to the computational complexity and transmission cost. Therefore, most of existing image search approaches are not optimal for mobile applications. How to improve the effectiveness and efficiency of mobile image search is still an open challenge nowadays. In this paper, we propose to build binary phrase which employs fast binary local descriptor and extracts spatial clues to improve both the efficiency and discriminative power of mobile search systems. We embed spatial information of binary phrases into inverted-index structure for flexible and efficient online verification. Large-scale experiments manifest that our algorithm achieves decent retrieval accuracy and efficiency.