Analysis Of Video Sequences For Content Description
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Video Content Analysis Using Multimodal Information
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Author : Ying Li
language : en
Publisher: Springer
Release Date : 2010-12-07
Video Content Analysis Using Multimodal Information written by Ying Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-07 with Computers categories.
Video Content Analysis Using Multimodal Information For Movie Content Extraction, Indexing and Representation is on content-based multimedia analysis, indexing, representation and applications with a focus on feature films. Presented are the state-of-art techniques in video content analysis domain, as well as many novel ideas and algorithms for movie content analysis based on the use of multimodal information. The authors employ multiple media cues such as audio, visual and face information to bridge the gap between low-level audiovisual features and high-level video semantics. Based on sophisticated audio and visual content processing such as video segmentation and audio classification, the original video is re-represented in the form of a set of semantic video scenes or events, where an event is further classified as a 2-speaker dialog, a multiple-speaker dialog, or a hybrid event. Moreover, desired speakers are simultaneously identified from the video stream based on either a supervised or an adaptive speaker identification scheme. All this information is then integrated together to build the video's ToC (table of content) as well as the index table. Finally, a video abstraction system, which can generate either a scene-based summary or an event-based skim, is presented by exploiting the knowledge of both video semantics and video production rules. This monograph will be of great interest to research scientists and graduate level students working in the area of content-based multimedia analysis, indexing, representation and applications as well s its related fields.
Analysis Of Video Sequences For Content Description
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Author : Joan Llach Pinsach
language : en
Publisher:
Release Date : 2003
Analysis Of Video Sequences For Content Description written by Joan Llach Pinsach and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Content Based Analysis Of Digital Video
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Author : Alan Hanjalic
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
Content Based Analysis Of Digital Video written by Alan Hanjalic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Computers categories.
Content-Based Analysis Of Digital Video focuses on fundamental issues underlying the development of content access mechanisms for digital video. It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of: - Video parsing, - Video content indexing and representation, - Affective video content analysis. In this well illustrated book the author integrates related information currently scattered throughout the literature and combines it with new ideas into a unified theoretical approach to video content analysis. The material also suggests ideas for future research. Systems developers, researchers and students working in the area of content-based analysis and retrieval of video and multimedia in general will find this book invaluable.
Content Analysis Of Video Sequences
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Author :
language : en
Publisher:
Release Date : 2002
Content Analysis Of Video Sequences written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Content analysis of video sequences is a critical component of virtually any application involving the management of large video data sets. Systems for managing video databases or transmitting large numbers of video sequences are most efficient if they incorporate some understanding of the video content. The required analysis must be automated if large volumes of video are to be accommodated. This report presents two contributions of this project to problems in video content analysis. The first is an algorithm for fast estimation of scene boundaries in video sequences. The second is an approach for using video content and short-term traffic statistics to improve bandwidth allocation when transmitting video over the internet.
Semantic Analysis And Understanding Of Human Behavior In Video Streaming
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Author : Alberto Amato
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-18
Semantic Analysis And Understanding Of Human Behavior In Video Streaming written by Alberto Amato and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Computers categories.
Semantic Analysis and Understanding of Human Behaviour in Video Streaming investigates the semantic analysis of the human behaviour captured by video streaming, and introduces both theoretical and technological points of view. Video analysis based on the semantic content is in fact still an open issue for the computer vision research community, especially when real-time analysis of complex scenes is concerned. This book explores an innovative, original approach to human behaviour analysis and understanding by using the syntactical symbolic analysis of images and video streaming described by means of strings of symbols. A symbol is associated to each area of the analyzed scene. When a moving object enters an area, the corresponding symbol is appended to the string describing the motion. This approach allows for characterizing the motion of a moving object with a word composed by symbols. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature both of the representations and the related operations used to manipulate them. Besides, the structure of the representations is well suited for possible parallel processing, thus allowing for speeding up the analysis when appropriate hardware architectures are used. A new methodology for design systems for hierarchical high semantic level analysis of video streaming in narrow domains is also proposed. Guidelines to design your own system are provided in this book. Designed for practitioners, computer scientists and engineers working within the fields of human computer interaction, surveillance, image processing and computer vision, this book can also be used as secondary text book for advanced-level students in computer science and engineering.
Content Based Audio Classification And Retrieval For Audiovisual Data Parsing
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Author : Tong Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-01-31
Content Based Audio Classification And Retrieval For Audiovisual Data Parsing written by Tong Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-31 with Computers categories.
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.
Digital Video Transition Analysis And Detection
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Author : Wei Jyh Heng
language : en
Publisher: World Scientific Publishing Company Incorporated
Release Date : 2002-01-01
Digital Video Transition Analysis And Detection written by Wei Jyh Heng and has been published by World Scientific Publishing Company Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Computers categories.
This book presents a comprehensive coverage of video transition analysis and detection, which is a critical technology in video indexing embodied in the recent MPEG-7 standard, defining the description interface for multimedia content, it is a timely publication, in that the MPEG-7 standard is driving the explosion of multimedia applications on the Internet. The book outlines a revolutionary system for automatic analysis and detection of transitions, which is not found in any other book.
Exploiting Motion Information For Video Analysis In Sequences With Moving Camera
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Author :
language : en
Publisher:
Release Date : 2015
Exploiting Motion Information For Video Analysis In Sequences With Moving Camera written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Audio Coupled Video Content Understanding Of Unconstrained Video Sequences
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Author : José Eduardo Fernandes Canelas Lopes
language : en
Publisher:
Release Date : 2007
Audio Coupled Video Content Understanding Of Unconstrained Video Sequences written by José Eduardo Fernandes Canelas Lopes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Unconstrained video understanding is a difficult task. The main aim of this thesis is to recognise the nature of objects, activities and environment in a given video clip using both audio and video information. Traditionally, audio and video information has not been applied together for solving such complex task, and for the first time we propose, develop, implement and test a new framework of multi-modal (audio and video) data analysis for context understanding and labelling of unconstrained videos. The framework relies on feature selection techniques and introduces a novel algorithm (PCFS) that is faster than the well-established SFFS algorithm. We use the framework for studying the benefits of combining audio and video information in a number of different problems. We begin by developing two independent content recognition modules. The first one is based on image sequence analysis alone, and uses a range of colour, shape, texture and statistical features from image regions with a trained classifier to recognise the identity of objects, activities and environment present. The second module uses audio information only, and recognises activities and environment. Both of these approaches are preceded by detailed pre-processing to ensure that correct video segments containing both audio and video content are present, and that the developed system can be made robust to changes in camera movement, illumination, random object behaviour etc. For both audio and video analysis, we use a hierarchical approach of multi-stage classification such that difficult classification tasks can be decomposed into simpler and smaller tasks. When combining both modalities, we compare fusion techniques at different levels of integration and propose a novel algorithm that combines advantages of both feature and decision-level fusion. The analysis is evaluated on a large amount of test data comprising unconstrained videos collected for this work. We finally, propose a decision correction algorithm which shows that further steps towards combining multi-modal classification information effectively with semantic knowledge generates the best possible results.
Enhanced Video Coding Based On Video Analysis And Metadata Information
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Author :
language : en
Publisher:
Release Date : 2007
Enhanced Video Coding Based On Video Analysis And Metadata Information written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Achieving high compression ratio without significant loss of quality is the main goal of the most standard video coding systems. Since consecutive frames of a general video sequence have high correlations, the temporal redundancy between frames is removed by using motion estimation and motion compensation techniques. In this thesis, we investigate the use of video content information within the video coding system and propose a new video coding approach that can save significant bit-rates of the compressed video. Main units of the proposed coding scheme include the scene analyzer and image interpolator. The scene analyzer at the encoder extracts scene-modeling parameters from input sequences. The image interpolator at the decoder reconstructs the video frames by using the transmitted modeling parameters. The scene analyzer consists of the camera motion detector and image-matching module. We propose a new camera motion detection method that directly analyzes the 2-D distribution of inter-frame motion fields. Experimental results show that the proposed method provides higher detection accuracy and faster computation time than the 1-D angle histogram-based method. A robust image-matching method that is invariant to scale changes, rotations, and illumination changes has been presented. Invariance to these changes is achieved by adopting mutual information as a measure of similarity and adaptively changing the size and orientation of the local matching windows. To reduce ambiguities of the local matching, a global matching technique has been combined with the local matching. To evaluate the performance of the proposed coding scheme, we have integrated the camera motion detector, the image-matching module, and the image interpolator with the standard MPEG-4 video codec. We compare our method with the standard MPEG-4 codec in terms of bit rates, computation time, and subjective and objective qualities.