Reducing IPTV channel zapping time based on viewer’s surfing behavior and preference

This paper presents a method of prejoining the expected next TV channels for reducing IPTV channel zapping time with a consideration of the channel surfing behavior and the particular preference of each viewer. In this method, a home gateway of multicast protocol proxy for set-top boxes (STB) prejoins the expected and preferred channels based on aggregated data from STBs. The experimental results show that the method improves the prediction accuracy of prejoin channels with little network bandwidth overhead, which leads to reduce the channel zapping time for IPTV services.

[1]  Brad Cain,et al.  Internet Group Management Protocol, Version 3 , 2002, RFC.

[2]  Chun-Chia Lee,et al.  AIMED- A Personalized TV Recommendation System , 2006, EuroITV.

[3]  Kjell Brunnström,et al.  Perceived quality of channel zapping , 2006, Communication Systems and Networks.

[4]  Sanggil Kang,et al.  Automatic user preference learning for personalized electronic program guide applications , 2007, J. Assoc. Inf. Sci. Technol..

[5]  Byungdeok Chung,et al.  Advanced Scheme to Reduce IPTV Channel Zapping Time , 2007, APNOMS.

[6]  Chunglae Cho,et al.  Improvement of channel zapping time in IPTV services using the adjacent groups join-leave method , 2004, The 6th International Conference on Advanced Communication Technology, 2004..