Title :
A novel commercial break detection and automatic annotation of TV programs for content based retrieval
Author :
Venkatesh, N. ; Girish Chandra, M. ; Rajeev, B.
Author_Institution :
Embedded Syst. Innovation Lab., Tata Consultancy Services, Bangalore, India
Abstract :
In this paper, we present 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 our approach, commercial boundaries are primarily detected using audio and the detected boundaries are enhanced and validated using logo (program name) in the video domain. Detected logo (program name) 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.
Keywords :
content-based retrieval; feature extraction; television broadcasting; video retrieval; Indian television broadcasts; TV programs annotation; commercial break detection; content based video retrieval; detected logo; extracted features; recorded television program; video domain; Correlation; Databases; Feature extraction; Hidden Markov models; Pixel; Signal processing; TV; Audio visual features; Automatic annotation; Commercial detection; Content based video retrieval; Correlation classifier;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
DOI :
10.1109/ICSPS.2010.5555826