Browse > Article

An Efficient Channel Navigation Scheme based on Patterns of Watching TV Programs  

Park, Woo-Ram (단국대학교 컴퓨터과학과)
Park, Tae-Keun (단국대학교 멀티미디어공학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.9, 2010 , pp. 1357-1364 More about this Journal
Abstract
With the emergence of digital TV broadcasting, various TV channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, channel navigation schemes have been proposed. The schemes predict preferred TV channel from viewer's previous watching histories, and provide the predicted channels when the viewer wants to change TV channel. As channel navigation schemes, there are Most Recently Selected (MRS) scheme providing the most recently watched channel, and Most Frequently Selected (MFS) scheme providing the most frequently selected channel. However, MFS and MRS scheme could be inappropriate to current TV system broadcasting various TV programs in a channel because they are based on the viewer's patterns of watching TV channels. Therefore, this paper proposes an efficient channel navigation scheme, Program Most Frequently Selected (PMFS), based on patterns of watching TV programs instead of TV channels. Simulation results show that the proposed scheme PMFS reduces the seek distance compared to the previous channel navigation schemes, MFS and MRS.
Keywords
Channel Navigation Scheme; Personalization; TV Watching Patterns;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 H. Lee, S. Lee, H. Kim, and H. Bahn, "Personalized Recommendation Schemes for DTV Channel Selectors." IEEE Transactions on Consumer Electronics, Vol.52, No.3, pp. 1064-1068, 2006.   DOI   ScienceOn
2 H. Bahn and Yuncheol Baek, "An Intelligent Channel Navigation Scheme DTV Channel Selectors," IEEE Transactions on Consumer Electronics, Vol.54, No.3, pp.1098-1102, 2008.   DOI
3 Z. Yu and X. Zhou, "TV3P: an Adaptive Assistant for Personalized TV." IEEE Transactions on Consumer Electronics, Vol. 50, Issue 1, pp.393-399(2004), Feb 2004.   DOI   ScienceOn
4 Y. Chen, H. Huang, and Y. Huang, "Community-based Program Recommendation for the Next Generation Electronic Program Guide," IEEE Trans. on Consumer Electronics, Vol. 55, pp.707-712, May. 2009.   DOI
5 S. Yoo, H. Lee, H. Lee, and H. Kim, "A Content-based TV Program Recommender," Journal of KISS, 9(6), pp.683-692, 2003   과학기술학회마을
6 H. Zhang, S. Zheng, and J. Yuan, "A Personalized TV Guide System Compliant with MHP," IEEE Trans. on Consumer Electronics, Vol. 51, pp. 731-737, May. 2005.   DOI   ScienceOn