Energy conservation by adaptive feature loading for mobile content-based image retrieval
Proceedings of the 13th international symposium on Low power electronics and design
A camera-based mobile data channel: capacity and analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
iScope: personalized multi-modality image search for mobile devices
Proceedings of the 7th international conference on Mobile systems, applications, and services
Mining city landmarks from blogs by graph modeling
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Places clustering of full-length film key-framesusing latent aspect modeling over SIFT matches
IEEE Transactions on Circuits and Systems for Video Technology
JIGSAW: interactive mobile visual search with multimodal queries
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Energy Conservation for Image Retrieval on Mobile Systems
ACM Transactions on Embedded Computing Systems (TECS)
Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment
International Journal of Multimedia Data Engineering & Management
SmartVisionApp: A framework for computer vision applications on mobile devices
Expert Systems with Applications: An International Journal
Personalized multi-modality image management and search for mobile devices
Personal and Ubiquitous Computing
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With the pervasive use of camera phones, the embedded camera has been considered as a promising HCI manner for mobiles. With necessary technologies, it is possible to become a powerful tool to acquire the information in daily life. We have designed and implemented a system named Photo-to-Search to carry out queries from camera phones simply by taking some photos of interested objects. The captured pictures are compared with a large amount of Web images to select the ones which contain the same prominent object. Consequently, the related information is extracted from the Web pages where the matched images locate. In our demo, data of large buildings, storefronts and products are collected and these kinds of queries are specifically demonstrated to show the efficiency and the effectiveness of our system.