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OverviewVideo captioning, the task of describing the content of a video in natural language, is a popular task both in computer vision and natural language processing. In the beginning, researchers try to generate sentence-level captions for short video clips (Venugopalan et al., 2015). Krishna et al. (2017) propose the task of dense video captioning. The system needs to detect event segments first and then generate captions. Park et al. (2019) propose the task of video paragraph captioning: they use ground-truth event segments and focus on generating coherent paragraphs. Lei et al. (2020) follow the task setting and propose a recurrent transformer model that can generate more coherent and less repetitive paragraphs. Considering the groundtruth event segments are often unavailable in practice, our goal is to generate paragraph captions without ground-truth segments. Full Product DetailsAuthor: Burhanuddin LuqmaniPublisher: Notion Press Imprint: Notion Press Dimensions: Width: 12.70cm , Height: 2.20cm , Length: 20.30cm Weight: 0.417kg ISBN: 9798888330029Pages: 426 Publication Date: 03 October 2022 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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