Abstract
With the emergence of new TV media such as digital cable and satellite, the task of finding one's favorite program among hundreds of channels becomes a time consuming job. Furthermore, the channel zapping time of DTV is much longer than that of analogue one. To relieve the time overhead in channel navigation, this paper presents an intelligent channel navigation scheme for DTV channel selectors. The proposed navigation scheme analyzes each person's previous watching behavior in terms of recency and frequency, and then utilizes this information in the control of the up-down channel selector. Simulation studies show that the proposed scheme reduces the seek distance of the DTV channel navigation system by up to 68.7% under various conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 1098-1102 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 54 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2008 |
Bibliographical note
Funding Information:1This work was sponsored by IT Scholarship Program supervised by IITA (Institute for Information Technology Advancement) and Ministry of Information and Communication, Republic of Korea. Hyokyung Bahn is with the Department of Computer Science and Engineering, Ewha University, Seoul, Korea. Hyokyung Bahn is the corresponding author (email: [email protected]) Yuncheol Baek is with the Division of Computer Software, Sangmyung University, Seoul, Korea (email: [email protected]) Contributed Paper Manuscript receivedJuly 15, 2008 0098 3063/08/$20.00 © 2008 IEEE
Keywords
- Channel navigation
- Channel recommendation
- Channel selector
- DTV
- Watching behavior