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To generate a model of shot-boundaries, the authors have applied the concepts of Support Vector Machine to estimate the distance between any two images, and then, have generated a Gaussian Mixture Model from the estimated distances. Next, a Bayesian Estimation process checks the presence of boundaries in between the images by exploiting the Gaussian Mixture-based boundary model. Further, the authors have used the principles of Compressive Sensing to reduce the overhead of boundary detection process without losing of important information.<\/jats:p>","DOI":"10.4018\/ijaci.2018100105","type":"journal-article","created":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T13:31:37Z","timestamp":1533735097000},"page":"69-95","source":"Crossref","is-referenced-by-count":7,"title":["Generative Model Based Video Shot Boundary Detection for Automated Surveillance"],"prefix":"10.4018","volume":"9","author":[{"given":"Biswanath","family":"Chakraborty","sequence":"first","affiliation":[{"name":"RCC Institute of Information Technology, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0360-7919","authenticated-orcid":true,"given":"Siddhartha","family":"Bhattacharyya","sequence":"additional","affiliation":[{"name":"RCC Institute of Information Technology, Kolkata, India"}]},{"given":"Susanta","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"IIEST, Howrah, India"}]}],"member":"2432","reference":[{"key":"IJACI.2018100105-0","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2012.6416617"},{"key":"IJACI.2018100105-1","first-page":"506","article-title":"Key frame extraction and indexing for multimedia databases","author":"M.Ahmed","year":"1999","journal-title":"Proc. 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