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Multimodal Video Characterization and Summarization

Author: Michael A. Smith

Publisher: Springer Science & Business Media

Published: 2005-12-17

Total Pages: 214

ISBN-13: 0387230084

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field. This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

Using Classification for Analysis of Multi-modal Video Summarization

Author: Brendan Wells

Publisher:

Published: 2020

Total Pages: 63

ISBN-13:

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"Video Summarization refers to taking the important contents of a video and condensing it down to an easily consumable piece of data without having to watch the entire video. Currently, Millions of Videos are being recorded and shared every day. These videos range from the consumer level, such as a birthday party or wedding video, all the way up to industry such as film and television. We have constructed a model that seeks to address the problem of not being able to consume all the media that is being presented to you because of time constraints. To do this, we conduct two separate experiments. The first experiment examines the role of different parts of the summarization model, namely modality, sampling rate, and data scaling so that we better understand how summaries are generated. The second experiment utilizes these findings to create a model based in classification. We use classification as a means of interpreting a wide variety of types of video for summarization. By using classification to generate the video and audio features used by the summarizer, the classifier granularity is leveraged, and the maturity of classification problems is leveraged to accomplish a summarization task. We found that while scaling and sampling of the data have little effect on the overall summary, in each experiment the modality played a large role in the results. While many models exclude audio, we found that there are benefits to including this data when generating a video summary. We also found that the use of classification resulted in a separation of impacts for each modality, with video serving to construct the shape of the summary and audio determining importance score."--Abstract.

Video Text Detection

Author: Tong Lu

Publisher: Springer

Published: 2014-07-23

Total Pages: 272

ISBN-13: 1447165152

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This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Video Content Analysis Using Multimodal Information

Author: Ying Li

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 226

ISBN-13: 1475737122

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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.

Structural Video Summarization Based on the Multimodal Semantic Analysis and Mining

Author: 陳伯煒

Publisher:

Published: 2009

Total Pages: 176

ISBN-13:

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Machine Learning for Big Data Analysis

Author: Siddhartha Bhattacharyya

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2018-12-17

Total Pages: 246

ISBN-13: 3110550776

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This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.

Handbook of Video Databases

Author: Borko Furht

Publisher: CRC Press

Published: 2003-09-30

Total Pages: 1228

ISBN-13: 0203489861

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Technology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensi

Multimodal Processing and Interaction

Author: Petros Maragos

Publisher: Springer Science & Business Media

Published: 2008-12-16

Total Pages: 380

ISBN-13: 0387763163

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This volume presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints. It contains contributions by leading experts in the obsequious scientific and technological field of multimedia. The book specifically focuses on interaction with multimedia content with special emphasis on multimodal interfaces for accessing multimedia information. The book is designed for a professional audience composed of practitioners and researchers in industry. It is also suitable for advanced-level students in computer science.

Encyclopedia of Multimedia Technology and Networking, Second Edition

Author: Pagani, Margherita

Publisher: IGI Global

Published: 2008-08-31

Total Pages: 1756

ISBN-13: 1605660159

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Advances in hardware, software, and audiovisual rendering technologies of recent years have unleashed a wealth of new capabilities and possibilities for multimedia applications, creating a need for a comprehensive, up-to-date reference. The Encyclopedia of Multimedia Technology and Networking provides hundreds of contributions from over 200 distinguished international experts, covering the most important issues, concepts, trends, and technologies in multimedia technology. This must-have reference contains over 1,300 terms, definitions, and concepts, providing the deepest level of understanding of the field of multimedia technology and networking for academicians, researchers, and professionals worldwide.

Wittgenstein and Artificial Intelligence, Volume II

Author: Alice C Helliwell

Publisher: Anthem Press

Published: 2024-09-10

Total Pages: 140

ISBN-13: 1839991402

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Volume II This collection brings together work on the relevance of Wittgenstein’s philosophy to the field of Artificial Intelligence (AI). Over two volumes, our contributors cover a wide range of topics from different disciplinary approaches. In this Volume (II), contributions are centred on two major themes in the philosophy of AI: questions of value and governance. Contributions include chapters on both ethics and aesthetics and AI, as well as questions of the governance of AI systems, including legal and policy issues.