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Shot boundaries are detected using coefficient of correlation on fuzzified frames. Further, probabilistic entropy measures are computed to extract the keyframe within fuzzified frames of a shot. The keyframe representative of a shot is the frame with highest entropy value. To show the efficacy of the proposed methods two benchmark datasets are used (TRECVID and Open Video Project). The proposed methods outperform when compared with some of state-of-the-art shot boundary detection and keyframe extraction methods.<\/p>","DOI":"10.4018\/ijcvip.2018040102","type":"journal-article","created":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T09:49:03Z","timestamp":1529488143000},"page":"27-48","source":"Crossref","is-referenced-by-count":3,"title":["Effective Video Shot Boundary Detection and Keyframe Selection using Soft Computing Techniques"],"prefix":"10.4018","volume":"8","author":[{"family":"Rashmi B S","sequence":"first","affiliation":[{"name":"University of Mysore, Mysore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Nagendraswamy H S","sequence":"additional","affiliation":[{"name":"University of Mysore, Mysore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCVIP.2018040102-0","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(86)80034-3"},{"key":"IJCVIP.2018040102-1","doi-asserted-by":"crossref","unstructured":"Besiris, D., Laskaris, N., Fotopoulou, F., & Economou, G. 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