Multimodal Video Characterization and Summarization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Video Characterization and Summarization write by Michael A. Smith. This book was released on 2005-12-17. Multimodal Video Characterization and Summarization available in PDF, EPUB and Kindle. 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.
Video Content Analysis Using Multimodal Information
Video Content Analysis Using Multimodal Information - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Video Content Analysis Using Multimodal Information write by Ying Li. This book was released on 2013-04-17. Video Content Analysis Using Multimodal Information available in PDF, EPUB and Kindle. 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.
Video Text Detection
Video Text Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Video Text Detection write by Tong Lu. This book was released on 2014-07-23. Video Text Detection available in PDF, EPUB and Kindle. 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.
Structural Video Summarization Based on the Multimodal Semantic Analysis and Mining
Structural Video Summarization Based on the Multimodal Semantic Analysis and Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Video Summarization Based on the Multimodal Semantic Analysis and Mining write by 陳伯煒. This book was released on 2009. Structural Video Summarization Based on the Multimodal Semantic Analysis and Mining available in PDF, EPUB and Kindle.
Machine Learning for Big Data Analysis
Machine Learning for Big Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning for Big Data Analysis write by Siddhartha Bhattacharyya. This book was released on 2018-12-17. Machine Learning for Big Data Analysis available in PDF, EPUB and Kindle. 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.
