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.
Multimodal Video Characterization and Summarization
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.
Multimodal Analysis of User-Generated Multimedia Content
Multimodal Analysis of User-Generated Multimedia Content - 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 Analysis of User-Generated Multimedia Content write by Rajiv Shah. This book was released on 2017-08-30. Multimodal Analysis of User-Generated Multimedia Content available in PDF, EPUB and Kindle. This book presents a summary of the multimodal analysis of user-generated multimedia content (UGC). Several multimedia systems and their proposed frameworks are also discussed. First, improved tag recommendation and ranking systems for social media photos, leveraging both content and contextual information, are presented. Next, we discuss the challenges in determining semantics and sentics information from UGC to obtain multimedia summaries. Subsequently, we present a personalized music video generation system for outdoor user-generated videos. Finally, we discuss approaches for multimodal lecture video segmentation techniques. This book also explores the extension of these multimedia system with the use of heterogeneous continuous streams.
Video Mining
Video 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 Video Mining write by Azriel Rosenfeld. This book was released on 2013-03-09. Video Mining available in PDF, EPUB and Kindle. Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video Video understanding deals with understanding of video understanding. sequences, e.g., recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvi ous overlap with computer vision. The main goal of computer graphics is to generate and animate realistic looking images, and videos. Re searchers in computer graphics are increasingly employing techniques from computer vision to generate the synthetic imagery. A good exam pIe of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is derived from real images using computer vision techniques. Here the shift is from synthesis to analy sis followed by synthesis. Image processing has always overlapped with computer vision because they both inherently work directly with images.
