Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233
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dc.contributor.authorSeth, Arjun-
dc.contributor.authorJaiswal, Anshul-
dc.contributor.authorGarg, Pardeep [Guided by]-
dc.contributor.authorKanji, Rakesh [Guided by]-
dc.date.accessioned2023-10-07T10:06:56Z-
dc.date.available2023-10-07T10:06:56Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10233-
dc.descriptionEnrollment No. 191407, 191411en_US
dc.description.abstractOne of the key areas of visual signal processing research is now video segmentation. The goal of Applications of Video Segmentation is to cover the theoretical frameworks, practical applications, and emerging techniques of video analysis and computer vision communities while presenting the most recent developments in methods for segmenting and analysing videos. Pattern recognition in computer vision, and the transformation of digital material, segmentation is crucial. Segmenting images and videos are a job that arises in a variety of application domains, including interpreting images, analysing videos, and comprehension, digital entertainment, video indexing and summarising.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectVideo segmentationen_US
dc.subjectDeep learningen_US
dc.subjectvisual signal processingen_US
dc.titleVideo Segmentation using Deep Learningen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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