Abstract
The growth of digital broadcasting has lead to the emergence and wide spread distribution of TV terminals that are equipped with set-top boxes (STB) and personal video recorders (PVR). With increasing number of broadcasting channels and broadcasting services becoming more personalized, today’s TV terminal requires more complex structures and functions such as picture-in-picture, time-shift play, channel recording, etc. The increasing number of channels also complicates the efforts of TV viewers in finding their favorite broadcasts quickly and efficiently. In addition, obtaining meaningful scenes from live broadcasts becomes more difficult as the metadata describing the broadcasts is not available [1]. In fact, most live broadcasts cannot afford to provide related metadata as it must be prepared before the broadcast is aired.
Until now, many scene detection and content-indexing techniques have been applied to video archiving systems for video summarization, video segmentation, content management, and metadata authoring of broadcasts [2–7]. Some of them have been applied in STB or PVR after recording entire broadcasts [8–10]. Current broadcasting systems provide simple program guiding services with electronic program guides, but do not provide meaningful scene searching for live broadcasts [11, 12]. In order to provide a user-customized watching environment in digital broadcasting, meaningful scene search in real-time is required in the TV terminal. N. Dimitrova et al. [13], studied video analysis algorithms and architecture for abstracted video representation in consumer domain applications and developed a commercial tool for skipping through the detection of black frames and changes in activity [14]. Our work, however, focuses on establishing a system that enables the indexing and analyzing of live broadcasts at the content-level.
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References
TVAF, “Phase 2 Benchmark Features,” SP001v20, http://www.tv-anytime.org/, 2005, pp. 9.
N. Dimitrova, H.-J. Zhang, B. Shahraray, I. Sezan, T. Huang, and A. Zakhor, “Applications of Video-Content Analysis and Retrieval,” IEEE Multimedia, Vol. 9, No. 3, 2002, pp. 42–55.
S. Yang; S. Kim; Y. M. Ro, “Semantic Home Photo Categorization,” IEEE Trans. Circuits and Systems for Video Technology, Vol. 17, 2007, pp. 324–335.
C.-W. Ngo, Y.-F. Ma, and H.-J. Zhang, “Video Summarization and Scene Detection by Graph Modeling,” IEEE Trans. Circuits and Systems for Video Technology, Vol. 15, No. 2, 2005, pp. 296–305.
H. Li, G. Liu, Z. Zhang, and Y. Li, “Adaptive Scene-Detection Algorithm for VBR Video Stream,” IEEE Trans. Multimedia, Vol. 6, No. 4, pp. 624–633, 2004.
Y. Li, S. Narayanan, and C.-C. Jay Kuo, “Content-Based Movie Analysis and Indexing Based on AudioVisual Cues,” IEEE Trans. Circuits and System for Video Technology, Vol. 14, No. 8, 2004, pp. 1073–1085.
J. M. Gauch, S. Gauch, S. Bouix, and X. Zhu, “Real Time Video Scene Detection And Classification,” Information Processing and Management, Vol.35, 1999, pp. 381–400.
I. Otsuka, K. Nakane, A. Divakaran, K. Hatanaka and M. Ogawa, “A Highlight Scene Detection and Video Summarization System using Audio Feature for a Personal Video Recorder,” IEEE Trans. Consumer Electronics, Vol. 51, No. 1, 2005, pp. 112–116.
S. H. Jin, T. M. Bae, Y. M. Ro, “Intelligent Broadcasting System and Services for Personalized Semantic Contents Consumption” Expert system with applications, Vol. 31, 2006, pp. 164–173.
J. Kim, S. Suh, and S. Sull, “Fast Scene Change Detection for Personal Video Recorder,” IEEE Trans. Consumer Electronics, Vol. 49, No. 3, 2003, pp. 683–688.
J. S. Choi, J. W. Kim, D. S. Han, J. Y. Nam, and Y. H. Ha, “Design and implementation of DVB-T receiver system for digital TV,” IEEE Trans. Consumer Electronics, Vol. 50, No. 4, 2004, pp. 991–998.
M. Bais, J. Cosmas, C. Dosch, A. Engelsberg, A. Erk, P. S. Hansen, P. Healey, G. K. Klungsoeyr, R. Mies, J.-R. Ohm, Y. Paker, A. Pearmain, L. Pedersen, A. Sandvand, R. Schafer, P. Schoonjans, and P. Stammnitz, “Customized television: standards compliant advanced digital television,” IEEE Trans. Broadcasting, Vol. 48, No. 2, 2002, pp. 151–158.
N. Dimitrova, T. McGee, H. Elenbaas, and J. Martino, “Video content management in consumer devices,” IEEE Trans. Knowledge and Data Engineering, Vol. 10, Issue 6, 1998, pp. 988–995.
N. Dimitrova, H. Elenbass, T. McGee, and L. Agnihotri, “An architecture for video content filtering in consumer domain,” in Proc. Int. Conf. on Information Technology: Coding and Computing 2000, 27–29 March 2000, pp. 214–221.
D. Gross, and C. M. Harris, Fundamentals of Queueing Theory, John Wiley & Sons: New York, NY, 1998.
L. Kleinrock, Queueing System, Wiley: New York, NY, 1975.
K. Lee, and H. S. Park, “Approximation of The Queue Length Distribution of General Queues,” ETRI Journal, Vol. 15, No. 3, 1994, pp. 35–46.
Jr. A. Eckberg, “The Single Server Queue with Periodic Arrival Process and Deterministic Service Times,” IEEE Trans. Communications, Vol. 27, No. 3, 1979, pp. 556–562.
Y. Fu, A. Ekin, A. M. Tekalp, and R. Mehrotra, “Temporal segmentation of video objects for hierarchical object-based motion description,” IEEE Trans. Image Processing, vol. 11, Feb. 2002, pp. 135–145.
D. Zhong, and S. Chang, “Real-time view recognition and event detection for sports video,” Journal of Visual Communication & Image Representation, Vol. 15, No. 3, 2004, pp. 330–347.
A. Ekin, A. M. Tekalp, and R. Mehrotra, “Automatic Soccer Video Analysis and Summarization,” IEEE Trans. Image Processing, Vol. 12, No. 7, 2003, pp. 796–807.
A. Ekin and A. M. Tekalp, “Generic Play-break Event Detection for Summarization and Hierarchical Sports Video Analysis,” in Proc. IEEE Int. Conf. Multimedia & Expo 2003, 2003, pp. 27–29.
M. Kumano, Y. Ariki, K. Tsukada, S. Hamaguchi, and H. Kiyose, “Automatic Extraction of PC Scenes Based on Feature Mining for a Real Time Delivery System of Baseball Highlight Scenes,” in Proc. IEEE Int. Conf. Multimedia and Expo 2004, 2004, pp. 277–280.
R. Leonardi, P. Migliorati, and M. Prandini, “Semantic indexing of soccer audio-visual sequences: a multimodal approach based on controlled Markov chains,” IEEE Trans. Circuits and Systems for Video Technology, Vol. 14, No. 5, 2004, pp. 634–643.
P. Meer and B. Georgescu, “Edge Detection with Embedded Confidence,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23, No. 12, 2001, pp. 1351–1365.
C. Wolf, J.-M. Jolion, and F. Chassaing, “Text localization, enhancement and binarization in multimedia documents,” in Proc. 16th Int. Conf. Pattern Recognition, Vol. 2, 2002, pp. 1037–1040.
S. H. Jin, T. M. Bae, Y. M. Ro, and K. Kang, “Intelligent Agent-based System for Personalized Broadcasting Services,” in Proc. Int. Conf. Image Science, Systems and Technology’04, 2004, pp. 613–619.
S. Pekowsky and R. Jaeger, “The set-top box as multi-media terminal,” IEEE Trans. Consumer Electronics, Vol. 44, Issue 3, 1998, pp. 833–840.
J.-C. Moon, H.-S. Lim, and S.-J. Kang, “Real-time event kernel architecture for home-network gateway set-top-box (HNGS),” IEEE Trans. Consumer Electronics, Vol. 45, Issue 3, 1999, pp. 488–495.
B. Shahrary, “Scene change detection and content-based sampling of video sequences,” in Proc. SPIE, Vol. 2419, 1995, pp. 2–13.
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Ro, Y.M., Jin, S.H. (2009). Real-Time Content Filtering for Live Broadcasts in TV Terminals. In: Furht, B. (eds) Handbook of Multimedia for Digital Entertainment and Arts. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89024-1_18
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