Temporal Video Segmentation PDF Download
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Author: Christian Petersohn
Publisher: Jörg Vogt Verlag
ISBN: 3938860391
Category :
Languages : en
Pages : 294
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Book Description
Author: Christian Petersohn
Publisher: Jörg Vogt Verlag
ISBN: 3938860391
Category :
Languages : en
Pages : 294
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Book Description
Author: King Ngi Ngan
Publisher: Springer Science & Business Media
ISBN: 1441994823
Category : Technology & Engineering
Languages : en
Pages : 163
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Book Description
Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its Applications is to present the latest advances in video segmentation and analysis techniques while covering the theoretical approaches, real applications and methods being developed in the computer vision and video analysis community. The book will also provide researchers and practitioners a comprehensive understanding of state-of-the-art of video segmentation techniques and a resource for potential applications and successful practice.
Author: Vladimir Mashtalir
Publisher: Springer Nature
ISBN: 3030354806
Category : Technology & Engineering
Languages : en
Pages : 279
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Book Description
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval.
Author: Ling Liu
Publisher:
ISBN: 9781489979933
Category : Database management
Languages : en
Pages :
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Book Description
Author: Ning Xu
Publisher: Springer Nature
ISBN: 3031446569
Category :
Languages : en
Pages : 194
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Book Description
Author: Borko Furht
Publisher: Springer Science & Business Media
ISBN: 0387747249
Category : Computers
Languages : en
Pages : 1031
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Book Description
This second edition provides easy access to important concepts, issues and technology trends in the field of multimedia technologies, systems, techniques, and applications. Over 1,100 heavily-illustrated pages — including 80 new entries — present concise overviews of all aspects of software, systems, web tools and hardware that enable video, audio and developing media to be shared and delivered electronically.
Author:
Publisher:
ISBN: 9783030354817
Category : Image segmentation
Languages : en
Pages :
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Book Description
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval.
Author: Kyoung Mu Lee
Publisher: Springer
ISBN: 9783642373305
Category : Computers
Languages : en
Pages : 0
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Book Description
The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.
Author: Gerrit Polder
Publisher:
ISBN: 9789057760631
Category :
Languages : en
Pages : 133
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Book Description
Author: Ju Guo
Publisher: Springer Science & Business Media
ISBN: 1461515033
Category : Computers
Languages : en
Pages : 118
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Book Description
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.
