State-of-the-art and future challenges in video scene detection: a survey

Author:

Del Fabro Manfred,Böszörmenyi Laszlo

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference93 articles.

1. Adams, B., Dorai, C., Venkatesh, S.: Toward automatic extraction of expressive elements from motion pictures: tempo. IEEE Trans. Multimed. 4(4), 472–481 (2002)

2. Aner, A., Kender, J.: Video Summaries through mosaic-based shot and scene clustering. In: Heyden, A., Sparr, G., Nielsen, M., Johansen P. (eds.) Computer Vision ECCV 2002, Lecture Notes in Computer Science, vol. 2353, Chap. 26, pp. 45–49. Springer, Berlin (2006)

3. Arifin, S., Cheung, P.Y.K.: Affective level video segmentation by utilizing the Pleasure-Arousal-dominance information. IEEE Trans. Multimed. 10(7), 1325–1341 (2008)

4. Ariki, Y., Kumano, M., Tsukada, K.: Highlight scene extraction in real time from baseball live video. In: Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR ’03, pp. 209–214. ACM, New York, NY, USA (2003)

5. Benini, S., Xu, L.Q., Leonardi, R.: Identifying video content consistency by vector quantization. In: Proceedings of the 2005 International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005) (2005)

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