Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/480116
Title: Development of content based video retrieval CBVR system for searching similar videos in real time applications
Researcher: Michael Dinesh, S
Guide(s): Kavitha, A R
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Multimedia
smartphones
digital technologies
University: Anna University
Completed Date: 2023
Abstract: With the emergence of Multimedia and other high-end applications newlineon the web, smartphones and other digital technologies, there is tremendous newlineusage of images and videos. Videos and images influence all walks of life. newlineContent-based Image and Video Search has become an interesting task in the newlinefield of Computer Vision, to search for the desired video from a large collection newlineof videos. Due to the fast growth in the sales of smartphones, CCTV and newlinecameras, the size of video content on the web has increased by leaps and newlinebounds. This makes the manual annotation process a time-consuming and newlinetedious process. Instead of browsing hours for videos for a particular scene newlinesequence, it can be searched quickly by specifying any video frame present in newlinethe continuous video. Detecting a specific video from numerous videos is a newlinesignificant issue in numerous applications like video search, video surveillance, newlineadvertisement discovery, clinical diagnosis, crime identification, etc. newlineTherefore, developing Realtime Content-Based Video Retrieval newline(CBVR) that searches for similar videos becomes inevitable. This effort can newlinereduce the browsing time of video users and improve the accuracy of the video newlinesearch. Hence, this work focuses on improving the accuracy and search newlineresponse time of the video search process. newlineContent-Based Video Retrieval for searching similar videos in realtime newlineapplications is a distributed system that can search similar videos based on newlinethe user input with high accuracy and low search response time. The presented newlinesystem forms a video processing pipeline, consisting of three major newlinecontributions. newline
Pagination: xxii,150p.
URI: http://hdl.handle.net/10603/480116
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File274.66 kBAdobe PDFView/Open
02_prelim pages.pdf1.91 MBAdobe PDFView/Open
03_content.pdf206.48 kBAdobe PDFView/Open
04_abstract.pdf182.04 kBAdobe PDFView/Open
05_chapter 1.pdf5.85 MBAdobe PDFView/Open
06_chapter 2.pdf7.65 MBAdobe PDFView/Open
07_chapter 3.pdf6.3 MBAdobe PDFView/Open
08_chapter 4.pdf3.24 MBAdobe PDFView/Open
09_chapter 5.pdf5.41 MBAdobe PDFView/Open
10_annexures.pdf7.03 MBAdobe PDFView/Open
80_recommendation.pdf984.74 kBAdobe PDFView/Open
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