|
ABSTRACT
Images of objects as queries is a new approach to search for information on the web. Image-based information retrieval goes beyond only matching images, as information in other modalities also can be extracted from data collections using image search. We have developed a new system that uses images to search for web-based information. This paper has a particular focus towards exploring user's experience of general mobile image-based Web searches to find what issues and phenomena it contains. This was achieved in a multi-part study by creating and letting respondents test prototypes of mobile image-based search systems and collecting data using interviews, observations, video-observations, and questionnaires. We observed that searching for information only based on visual similarity and without any assistance is sometimes difficult, especially on mobile devices with limited interaction bandwidth. Most of our subjects preferred a search tool that guides the users through the search result based on contextual information, compared to presenting the search result as a plain ranked list.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
 |
1
|
|
| |
2
|
Berners-Lee, T., Hendler, J. & Lassila, O.: The semantic Web. Scientific American 284, 5, p. 34--43, 2000.
|
| |
3
|
Biever, C.: See it, snap it, and let your phone find it on the web. New Scientist, p. 20--21, 2006.
|
 |
4
|
Orkut Buyukkokten , Hector Garcia-Molina , Andreas Paepcke , Terry Winograd, Power browser: efficient Web browsing for PDAs, Proceedings of the SIGCHI conference on Human factors in computing systems, p.430-437, April 01-06, 2000, The Hague, The Netherlands
[doi> 10.1145/332040.332470]
|
 |
5
|
|
 |
6
|
Xin Fan , Xing Xie , Zhiwei Li , Mingjing Li , Wei-Ying Ma, Photo-to-search: using multimodal queries to search the web from mobile devices, Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, November 10-11, 2005, Hilton, Singapore
[doi> 10.1145/1101826.1101851]
|
| |
7
|
|
 |
8
|
|
 |
9
|
|
 |
10
|
|
| |
11
|
Maarek, Y., Soffer, A. and Chang, B.: Working Notes of the WWW2002 Workshop On Mobile Search, 2002.
|
 |
12
|
|
 |
13
|
|
| |
14
|
Miles, M. B. & Huberman, A. M.: Qualitative Data Analysis. New Bury, CA: Sage, 1994.
|
 |
15
|
|
| |
16
|
Niblack W., R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos and G. Taubin.: The QBIC project, SPIE Storage and Retrieval for Image and Video Databases, p. 173--187, 1993.
|
| |
17
|
|
| |
18
|
Smith, J. R. And Chang, S.-F.: An image and video search engine for the World-Wide Web. In Proceedings of the SPIE Conference on Storage and Retrieval for Image and Video Databases V (IS&T/SPIE, San Jose, CA), p. 84--95, 1997.
|
| |
19
|
Tollmar K., Yeh T, and Darrell T.: Searching the Web with Mobile Images for Location Recognition, Proceedings of MOBILE HCI 2004.
|
 |
20
|
Allison Woodruff , Andrew Faulring , Ruth Rosenholtz , Julie Morrsion , Peter Pirolli, Using thumbnails to search the Web, Proceedings of the SIGCHI conference on Human factors in computing systems, p.198-205, March 2001, Seattle, Washington, United States
[doi> 10.1145/365024.365098]
|
 |
21
|
Tom Yeh , Kristen Grauman , Konrad Tollmar , Trevor Darrell, A picture is worth a thousand keywords: image-based object search on a mobile platform, CHI '05 extended abstracts on Human factors in computing systems, April 02-07, 2005, Portland, OR, USA
[doi> 10.1145/1056808.1057083]
|
| |
22
|
Yeh T, Tollmar K. and Darrell T.: Searching the Web with Mobile Images, IEEE Computer Vision and Pattern Recognition, In Proceedings of CVPR 2004.
|
|