Video Content Analysis
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Video Content Analysis
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-05
Video Content Analysis written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-05 with Computers categories.
What is Video Content Analysis Video content analysis or video content analytics (VCA), also known as video analysis or video analytics (VA), is the capability of automatically analyzing video to detect and determine temporal and spatial events. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Video content analysis Chapter 2: Physical security Chapter 3: Closed-circuit television Chapter 4: Surveillance Chapter 5: Facial recognition system Chapter 6: Professional video over IP Chapter 7: Automatic number-plate recognition Chapter 8: Shot transition detection Chapter 9: Closed-circuit television camera Chapter 10: IP camera (II) Answering the public top questions about video content analysis. (III) Real world examples for the usage of video content analysis in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Video Content Analysis.
Video Content Analysis Using Multimodal Information
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Author : Ying Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Video Content Analysis Using Multimodal Information written by Ying Li 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 2013-04-17 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.
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.
Tv Content Analysis
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Author : Yiannis Kompatsiaris
language : en
Publisher: CRC Press
Release Date : 2012-03-19
Tv Content Analysis written by Yiannis Kompatsiaris and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-19 with Computers categories.
The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a de
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.
Machine Learning For Multimedia Content Analysis
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Author : Yihong Gong
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-26
Machine Learning For Multimedia Content Analysis written by Yihong Gong 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 2007-09-26 with Computers categories.
This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).
Multimedia Content Analysis
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Author : Ajay Divakaran
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-02
Multimedia Content Analysis written by Ajay Divakaran 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 2009-03-02 with Computers categories.
Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.
Video Search And Mining
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Author : Dan Schonfeld
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-22
Video Search And Mining written by Dan Schonfeld 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 2010-05-22 with Mathematics categories.
As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.
An Introduction To Audio Content Analysis
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Author : Alexander Lerch
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-08
An Introduction To Audio Content Analysis written by Alexander Lerch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-08 with Technology & Engineering categories.
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.
Robust Video Content Analysis Via Transductive Learning Methods
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Author : Ralph Ewerth
language : en
Publisher:
Release Date : 2008
Robust Video Content Analysis Via Transductive Learning Methods written by Ralph Ewerth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.