DocumentCode :
1096214
Title :
Mobile Search With Multimodal Queries
Author :
Xie, Xing ; Lu, Lie ; Jia, Menglei ; Li, Hua ; Seide, Frank ; Ma, Wei-Ying
Author_Institution :
Microsoft Res. Asia, Beijing
Volume :
96
Issue :
4
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
589
Lastpage :
601
Abstract :
The popularity of mobile devices, such as PDAs and SmartPhones, has grown rapidly over the last couple of years. Though most users still perform searches using desktop computers, it is expected that more and more people will also search the Web while they are on the move. In addition to text-based keyword queries, mobile devices can support richer and hybrid queries such as images, audio, video, and their combinations. In this paper, we will discuss mobile search systems that support image queries and audio queries, covering typical designs for mobile visual and audio search, as well as the opportunities and challenges. Specifically, we will present an in-depth study of two real systems we have developed: product image categorization and mobile ringtone search, which use image queries and audio queries, respectively. Experimental results on real-life data demonstrate their effectiveness and efficiency.
Keywords :
mobile computing; mobile handsets; PDA; SmartPhones; Web; audio queries; image queries; mobile devices; mobile ringtone search; multimodal queries; product image categorization; text-based keyword queries; Asia; Cameras; Content based retrieval; Image retrieval; Indexing; Information retrieval; Personal digital assistants; Search engines; Smart phones; Web search; Content-based image retrieval (CBIR); high-dimensional indexing; image categorization; information retrieval; mobile search; query by humming (QBH); ringtone search; voice search;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2008.916351
Filename :
4469877
Link To Document :
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