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Towards low bit rate mobile visual search with multiple-channel coding

Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Yong Rui, Shih-Fu Chang, Wen Gao
2011 Proceedings of the 19th ACM international conference on Multimedia - MM '11  
In this paper, we propose a multiple-channel coding scheme to extract compact visual descriptors for low bit rate mobile visual search.  ...  Meanwhile, stepping forward from the state-of-the-art compact descriptor extractions, we exploit the rich contextual cues at the mobile end (such as GPS tags for mobile visual search and 2D barcodes or  ...  A LOW BIT RATE MOBILE VISUAL SEARCH FRAMEWORK The proposed low bit rate mobile visual search framework follows the pipeline in Figure 2 : At the mobile end, we extract the raw visual signature (such as  ... 
doi:10.1145/2072298.2072372 dblp:conf/mm/JiDCYRCG11 fatcat:ir7dmmnitvg2fgdsitm376oqde

Learning Compact Visual Descriptors for Low Bit Rate Mobile Landmark Search

Ling-Yu Duan, Jie Chen, Rongrong Ji, Tiejun Huang, Wen Gao
2013 The AI Magazine  
A significant trend is low bit rate visual search, where compact visual descriptors are extracted directly over a mobile and delivered as queries rather than raw images to reduce the query transmission  ...  In this article, we introduce our work on low bit rate mobile landmark search, in which a compact yet discriminative landmark image descriptor is extracted by using location context such as GPS, crowd-sourced  ...  However, context is not included into CDVS core experiments (Yuri et al. 2012) due to the challenging issue of collecting context-tagged data sets covering rich objects in addition to the geotagged PKUBench  ... 
doi:10.1609/aimag.v34i2.2469 fatcat:a26mz5iqs5dwtbuwdovlwaeoca