Abstract
This chapter presents a novel approach for automatic annotation and content based video retrieval by making use of the features extracted during the process of detecting commercial boundaries in a recorded Television (TV) program. In this approach, commercial boundaries are primarily detected using audio and the detected boundaries are validated and enhanced using splash screen of a program in the video domain. Detected splash screen of a program at the commercial boundaries is used for automatic annotation of recorded video which helps in fast content based video retrieval. The performance and validity of our approach is demonstrated using the videos recorded from different Indian Television broadcasts.
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Venkatesh, N., Chandra, M.G. (2010). Commercial Break Detection and Content Based Video Retrieval. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_29
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DOI: https://doi.org/10.1007/978-90-481-9419-3_29
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