ABSTRACT
Mobile devices which can capture and view pictures are becoming increasingly common in our life. The limitation of these small-form-factor devices makes the user experience of image browsing quite different from that on desktop PCs. In this paper, we first present a user study on how users interact with a mobile image browser with basic functions. We found that on small displays, users tend to use more zooming and scrolling actions in order to view interesting regions in detail. From this fact, we designed a new method to detect user interest maps and extract user attention objects from the image browsing log. This approach is more efficient than image-analysis based methods and can better represent users' actual interest. A smart image viewer was then developed based on user interest analysis. A second experiment was carried out to study how users behave with such a viewer. Experimental results demonstrate that the new smart features can improve the browsing efficiency and are a good compliment to traditional image browsers.
- ACD Systems. http://www.acdsystems.comGoogle Scholar
- Bederson B.B. PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps.ACM UIST 2001, Orlando, FL, USA, Nov. 2001. Google ScholarDigital Library
- Chen, L.Q., Xie, X., Fan, X., Ma, W.Y., Zhang, H.J., and Zhou, H.Q. A visual attention model for adapting images on small displays. ACM Multimedia Systems Journal, Vol. 9, No. 4, Oct. 2003.Google ScholarDigital Library
- Christopoulos, C., Skodras, A., and Ebrahimi, T. The JPEG2000 still image coding system: an overview. IEEE Trans. on Consumer Electronics, Vol. 46, No. 4, pp 1103--1127, Nov. 2000. Google ScholarDigital Library
- DeCarlo, D., and Santella, A. Stylization and Abstraction of Photographs, SIGGRAPH 2002, San Antonio, Texas, USA, Jul. 2002. Google ScholarDigital Library
- Harada, S., Naaman, M., Song, Y.J., Wang, Q.Y., and Paepcke, A. Lost in memories: interacting with large photo collections on PDAs. Technical report, Stanford University, Oct. 2003. http://dbpubs.stanford.edu/pub/2003-30Google Scholar
- Liu, H., Xie, X., Ma, W.Y., and Zhang, H.J. Automatic browsing of large pictures on mobile devices. ACM Multimedia 2003, Berkeley, CA, USA, Nov. 2003. Google ScholarDigital Library
- Luo, J., Singhal, A., Braun, G., Gray, R.T., Seignol, O., and Touchard, N. Displaying images on mobile devices: capabilities, issues, and solutions. ICIP 2002, Rochester, NY, Sep. 2002.Google ScholarCross Ref
- Ma, Y.F., and Zhang, H.J. Contrast-based image attention analysis by using fuzzy growing. ACM Multimedia 2003, Berkeley, CA, USA, Nov. 2003. Google ScholarDigital Library
- Plaisant, C., Carr, D., and Shneiderman, B. Image browsers: taxonomy, guidelines, and informal specifications. IEEE Software, Vol. 11, No. 1, pp33--52, Mar., 1995.Google Scholar
- Resco. http://www.resco-net.comGoogle Scholar
- Rodden, K., and Wood, K. How do people manage their digital photographs?. ACM CHI 2003, Fort Lauderdale, FL, USA, Apr. 2003. Google ScholarDigital Library
- Suh, B., Ling, H., Bederson, B.B. and Jacobs, D.W. Automatic thumbnail cropping and its effectiveness. ACM UIST 2003, Vancouver, Canada, Nov. 2003. Google ScholarDigital Library
- Wang, M.Y., Xie, X., Ma, W.Y., and Zhang, H.J. MobiPicture - browsing pictures on mobile devices. ACM Multimedia 2003 demo, Berkeley, CA, USA, Nov. 2003. Google ScholarDigital Library
- Wooding, D.S. Fixation maps: quantifying eye-movement traces. Eye Tracking Research and Applications Symposium (ETRA 2002), New Orleans, LA, USA, Mar. 2002. Google ScholarDigital Library
- Yu, K., Ma, W.Y., Tresp, V., Xu, Z., He, X., Zhang, H.J., and Kriegel, H.P. Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia 2003, Berkeley, CA, USA, Nov. 2003. Google ScholarDigital Library
Index Terms
- Learning user interest for image browsing on small-form-factor devices
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