Abstract
P2P-TV is a TV system that receives content through a peer-to-peer network. Content is stored in the distributed manner then to be serviced to users, and thus expenses incurred by the content delivery are regarded as a near zero cost. This is why various studies are being conducted on the P2P-TV of late. Furthermore, the spread of smart televisions with combined functions of the Internet and PC enhanced the feasibility of P2P-TV greatly. Current discussions surrounding the P2P-TV, however, are mostly focused on studies that aim to improve the quality of content delivery. On just rare occasions are there studies that investigate the possibility of a significant profit source, P2P-TV based T-Commerce. As for the T-commerce to work, product information shall be extracted from content to be delivered to online shopping mall websites as a basic service. In this respect, this paper suggests methods and system to align content with annotation data so as to be used for T-Commerce through the P2P-TV system while evaluating the system performance. The alignment is divided into total matching process and partial matching process. When content is sent through the P2P network and stored afterwards, there can be unintentional content corruption depending on the network quality. There are five types of such content variations suggested as follows: (1) frame loss; (2) key frame corruption; (3) shot loss; (4) changes in the number of frames; and (5) changes in the resolution. These variations cause mismatching between content and annotation data. Against this backdrop, the paper proposes reasons for such mismatching as well as methods for mismatching-related decisions while conducting an experimentation and performance evaluation. The experimentation on these five different types of content corruption has generated relatively strong annotation results of 82.63 %. This shows that the proposed methods for alignment between content and annotation data are effective.
Similar content being viewed by others
References
Jan M, Dick E, Henk S (2007) The orchard algorithm: building multicast trees for P2P video multicasting without free-riding. IEEE Trans Multimed 9(8):1593–1604
Jin L (2008) On peer-to-peer (P2P) content delivery. Peer-to-Peer Netw Appl 1:45–63
Yong L, Yang G, Chao L (2008) A survey on peer-to-peer video streaming systems. Peer-to-Peer Netw Appl 1:18–28
Raimund S, Siegfried W, Norbert J (2007) Mobile social TV: extending DVB-H services with P2P-Interaction. In: Proceedings 2nd International Conference on Digital Telecommunications (ICDT’07):1–14
Alexandro S, Gustavo M, Mario G, Leonard K (2007) Will IPTV ride the peer-to-peer stream? [Peer-to-peer multimedia streaming]. IEEE Commun Mag 45(6):86–92
Ha OK, Song YS, Chung KY, Lee KD, Park D (2014) Relation model describing the effects of introducing RFID in the supply chain: evidence from the food and beverage industry in South Korea. Pers Ubiquit Comput 18(3):553–561
Kim JY, Chung KY, Jung JJ (2014) Single tag sharing scheme for multiple-object RFID applications. Multimed Tools Appl 68(2):465–477
Kim SH, Chung KY (2014) 3D simulator for stability analysis of finite slope causing plane activity. Multimed Tools Appl 68(2):455–463
Boutaba R, Chung K, Gen M (2014) Recent trends in interactive multimedia computing for industry. Clust Comput. doi:10.1007/s10586-014-0349-0
Kim JH, Ryu JK (2013) Recent trends on high-performance computing and security. Clust Comput 16(2):207–208
Martin L, Marta R, Jose P, Jorge G, Yolanda B, Alberto G, Rebeca D, Ana F, Manuel R (2009) Spontaneous interaction with audiovisual contents for personalized ecommerce over digital TV. Expert Syst Appl 36:4192–4197
Yoowon K, Seung-Bo P, Kee-Sung L, Jahyun C, Geun-Sik J (2011) Semantic interaction TV based on spatial relations and ontology. In: Proceeding of the International Conference on Information Science and Application (ICISA 2011):1–6
John L, Tamer Ö, Duane S (1997) Modeling of moving objects in a video database. In: Proceedings of IEEE International Conference on Multimedia Computing and Systems’97:336–343
Cózar JR, Guil N, González-Linares JM, Zapata EL, Izquierdo E (2007) Logotype detection to support semantic-based video annotation. Signal Process Image Commun 22:669–679
Jun Y, Rong Y, Alexander H (2005) Multiple instance learning for labeling faces in broadcasting news video. In: Proceedings of the ACM International Conference on Multimedia:31–40
Chung KY (2013) Recent trends on convergence and ubiquitous computing. Pers Ubiquit Comput. doi:10.1007/s00779-013-0743-2
Kim SH, Chung KY (2013) Medical information service system based on human 3D anatomical model. Multimed Tools Appl. doi:10.1007/s11042-013-1584-8
Chung KY, Na YJ, Lee JH (2013) Interactive design recommendation using sensor based smart wear and weather WebBot. Wirel Pers Commun 73(2):243–256
Jung H, Chung KY (2013) Mining based associative image filtering using harmonic mean. Clust Comput. doi:10.1007/s10586-013-0318-z
Eduard T, Lena S, John M (2003) Share it! by bringing P2P into the TV-domain. In: Proceedings of the Third International Conference on Peer-to-Peer Computing (P2P’03):206–207
Peter H, Eric V, Keith B (2005) Peer-to-peer Internet Television. In: Proceedings of the First International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS’05):267–268
Xiaojun H, Chao L, Jian L, Yong L, Keith R (2007) A measurement study of a large-scale P2P IPTV system. IEEE Trans Multimed 9(8):1672–1687
Chenjie Z, Dejian Y (2007) Clear P2P IPTV Live Streaming System for Set-Top Box Clients. In: 7th IEEE International Conference on Computer and Information Technology (CIT 2007):539–544
Majed A, Antonio L (2009) Characterization of signaling and traffic in Joost. Peer-to-Peer Netw Appl 2(1):75–83
Su H, Xin Z, Zhihong J, Hao K (2011) TVMonitor: A P2P-TV content monitoring platform. In: 2011 Third International Conference on Multimedia Information Networking and Security:371–375
Jun L, Lei S, Xiaoming F (2010) An experimental analysis of Joost peer-to-peer VoD service. Peer-to-Peer Netw Appl 3(4):351–362
Dario R, Elisa S, Paolo V (2011) Black-box analysis of Internet P2P applications. Peer-to-Peer Netw Appl 4(2):146–164
Paolo V, Dario R (2013) Performance evaluation of P2P-TV diffusion algorithms under realistic settings. Peer-to-Peer Netw Appl 6(1):26–45
Pouwelse JA, Garbacki P, Epema DHJ, Sips HJ (2004) A Measurement Study of the BitTorrent Peer-to-Peer File-Sharing System. Technical Report PDS-2004-003, Delft University of Technology, Netherlands
Cheng H, Angela W, Jin L, Keith R (2008) Understanding Hybrid CDN-P2P: Why Limelight Needs its Own Red Swoosh. In: Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video(NOSSDAV’08):75–80
Zong N (2009) Chunk Discovery for P2P Streaming. Draft-zong-ppsp-chunk-discovery-00
Jin-Hwal L, Kee-Sung L, Geun-Sik J (2013) Representation method of the moving object trajectories by interplation with dynamic sampling. In: 2013 International Conference on Information Science and Applications (ICISA 2013):189–192
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2061737)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Park, SB., Chung, K. Annotation alignment method on P2P-TV system. Peer-to-Peer Netw. Appl. 8, 578–586 (2015). https://doi.org/10.1007/s12083-014-0264-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12083-014-0264-4