User Study of Automatic Photo Classifier by Color and Timestamp
- Resource Type
- Conference
- Authors
- Orii, Yuki; Nozawa, Takayuki; Kondo, Toshiyuki
- Source
- 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on. 3:9-12 Sep, 2009
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Intelligent agent
Clustering methods
Intelligent systems
Conferences
Agriculture
Digital cameras
Floods
Microcomputers
Spatial databases
Visual databases
photo browsing system
photo clustering
digital photographs
- Language
We developed a new web-based intelligent photo browsing system which helps to find desired photos more efficiently from unfamiliar photo collections. We conducted a user study to assess the effectiveness of the developed photo browser (automatic photo classifier by color and timestamp, APC-CT) compared to ones with other clustering methods. The user task adopted here was to find some target photographs indicated by the experimenter from somebody else’s photo collections. The results show that APC-CT makes it faster to find the target photographs. Also, we confirmed that clustering using timestamp makes photo browsing more efficient even for unfamiliar photo collections.