03616nas|a2200481 a 4500 20260817162544.0 161122s2012 th uu|m rtt 0| a1eng d .b12175134 AIT Diss. no.CS-12-03 Doudpota, Sher Muhammad Analyzing movies to characterize musical content Pathum Thani, Thailand : Asian Institute of Technology, 2012 94 p. : ill. Dissertation ; no. CS-12-03 A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, School of Engineering and Technology Thesis (Ph.D.) - Asian Institute of Technology, 2012 Musical 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. Computer vision Video compression Interactive video Guha, Sumanta, Chairperson Ahmed, Kazi Mohiuddin, Examination Committee Dailey, Mathew N., Examination Committee Chen, Lei, Examination Committee Sukkur IBA, Pakistan, Scholarship donor Asian Institute of Technology. Dissertation ; no. CS-12-03 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B00290 .b12175134 mnait m 240422 0 161122 m a m 0 000:001:PDF:b1217513:002823:0:0:0:0:0:0 Abstract-AIT Diss. no.CS-12-03 n mnait mnait mnarc mnarc 20 40 Barcode : 30050120388771 CREATED : 2016-11-22 RECORD # : i13061926 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120388763 CREATED : 2016-11-22 RECORD # : i13061938 LPATRON : 1015151 LCHKIN : 2019-02-04 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 4 Barcode : 30050120405948 CREATED : 2017-05-04 RECORD # : i13073667 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120978209 CREATED : 2020-09-17 RECORD # : i13297211 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 5409 5409 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Diss. no.CS-12-03 30050120388771 2026-08-17 16:25:44 1 2026-08-17 20 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Diss. no.CS-12-03 30050120388763 2026-08-17 16:25:44 2 2026-08-17 20 0 0 0 0 MAIN MAIN mnarc 2026-08-17 50.00 0 AIT Diss. no.CS-12-03 30050120405948 2026-08-17 16:25:44 1 2026-08-17 40 0 0 0 0 MAIN MAIN mnarc 2026-08-17 50.00 0 AIT Diss. no.CS-12-03 30050120978209 2026-08-17 16:25:44 3 2026-08-17 20