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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.