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035 _a.b12175134
099 9 _aAIT Diss. no.CS-12-03
100 1 _aDoudpota, Sher Muhammad
245 1 0 _aAnalyzing movies to characterize musical content
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2012
300 _a94 p. :
_bill.
490 1 _aDissertation ;
_vno. CS-12-03
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, School of Engineering and Technology
502 _aThesis (Ph.D.) - Asian Institute of Technology, 2012
520 _aMusical sequences with actors dancing and lip-synching to songs sung by playback singers are integral parts, particularly of South Asian movies. Fans seek out movies for their songs and they often seek songs of a particular genre or those vocalized by particular actors. In fact, song and dance sequence of South Asian movies are an industry of their own. Given the huge numbers of movies produced in South Asia over the past decades, most of which are in digital archives, it is an important problem to automatically extract and categorize their musical sequences.It is this problem, falling within the modern discipline of multimedia data mining,that is addressed in this thesis. We develop a new theoretical approach and based upon it a complete software system for musical sequence extraction from movies. Our Method invokes an SVM-based classifier and makes as well a novel application of probabilistic timed automaton to distinguish musical sequences from non-musical. Our System analyzes both audio and video signals to give a classifier that not only extracts musical sequences but identifies their genre, and detects the vocalizing actors. This Thesis describes the underlying theory, the system from end to end, and a large batch of validating experiments.
650 0 _aComputer vision
650 0 _aVideo compression
650 0 _aInteractive video
700 1 _aGuha, Sumanta,
_eChairperson
700 1 _aAhmed, Kazi Mohiuddin,
_eExamination Committee
700 1 _aDailey, Mathew N.,
_eExamination Committee
700 1 _aChen, Lei,
_eExamination Committee
710 2 _aSukkur IBA, Pakistan,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tDissertation ;
_vno. CS-12-03
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B00290
907 _a.b12175134
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_tAbstract-AIT Diss. no.CS-12-03
_vn
945 _lmnait
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