Video Summarization using Geometric Primitives

MD. Salehin, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paperpeer-review

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Video summarization is the process to extract informative events of a video and represent in the condensed form. The paper proposes a new method for extracting important contents of a video for summarization using geometric primitives, such as line segments, angles, and conic parts. The primitives have the capabilities to represent complex shapes and structures of objects in a video frame. Therefore, they are indeed powerful features to localize objects in complex environments. After localizing objects, a cost function is applied to measure the dissimilarity of locations of geometric primitives to detect the movement of objects between consecutive frames. After detecting the dissimilar geometric primitives, amount of object movements are calculated based on the number and length of each geometric primitives. Utilizing this information, each video frame is assigned a probability score to become a key frame. Finally, a set of key frames are selected as per user preference. The proposed approach is evaluated using BL-7F, Office, and Lobby datasets and obtained better results against recently proposed state of the art GMM based method.
Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
Number of pages8
ISBN (Electronic)9781509028962
ISBN (Print)9781509028979
Publication statusPublished - 2016
Event2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Mantra on View Hotel, Surfer's Paradise, Gold Coast, Australia
Duration: 30 Nov 201602 Dec 2016 (Conference website) (Conference program) (Call for papers)


Conference2016 International Conference on Digital Image Computing
CitySurfer's Paradise, Gold Coast
Internet address


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