ACM Home Page
Please provide us with feedback. Feedback
Looking into video frames on small displays
Full text PdfPdf (370 KB)
Source International Multimedia Conference archive
Proceedings of the eleventh ACM international conference on Multimedia table of contents
Berkeley, CA, USA
SESSION: Reception and posters table of contents
Pages: 247 - 250  
Year of Publication: 2003
ISBN:1-58113-722-2
Authors
Xin Fan  University of Science and Technology of China, Hefei, P.R.China
Xing Xie  Microsoft Research Asia, Beijing, P.R.China
He-Qin Zhou  University of Science and Technology of China, Hefei, P.R.China
Wei-Ying Ma  Microsoft Research Asia, Beijing, P.R.China
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGCOMM: ACM Special Interest Group on Data Communication
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 56,   Citation Count: 10
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/957013.957063
What is a DOI?

ABSTRACT

With the growing popularity of personal digital assistants and smart phones, people have become enthusiastic to watch videos through these mobile devices. However, a crucial challenge is to provide a better user experience for browsing videos on the limited and heterogeneous screen sizes. In this paper, we present a novel approach which allows users to overcome the display constraints by zooming into video frames while browsing. An automatic approach for detecting the focus regions is introduced to minimize the amount of user interaction. In order to improve the quality of output stream, virtual camera control is employed in the system. Preliminary evaluation shows that this approach is an effective way for video browsing on small displays.


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
L.Q. Chen, X. Xie, X. Fan, W.Y. Ma, H.J. Zhang, and H.Q. Zhou, A visual attention model for adapting images on small displays, ACM Multimedia Systems Journal, to appear.
 
2
X. Fan, X. Xie, W.Y. Ma, H.J. Zhang, and H.Q. Zhou, Visual attention based image browsing on mobile devices, Proc. of ICME 2003, Vol. I, p53--56, Baltimore, USA, Jul. 2003.
3
 
4
5
 
6
Y.F. Ma and H.J. Zhang, A model of motion attention for video skimming, IEEE ICIP 2002, New York, USA, p129--132, Sep. 2002.
7
 
8
K.B. Shimoga, Region of interest based video Image transcoding for heterogeneous client displays, Packet Video 2002, Pittsburgh, USA, Apr. 2002.
9

CITED BY  10

Collaborative Colleagues:
Xin Fan: colleagues
Xing Xie: colleagues
He-Qin Zhou: colleagues
Wei-Ying Ma: colleagues

Peer to Peer - Readers of this Article have also read: