Interactive Video: Algorithms and Technologies by Dr. Riad I. Hammoud (auth.), Dr. Riad I. Hammoud (eds.)

By Dr. Riad I. Hammoud (auth.), Dr. Riad I. Hammoud (eds.)

This is a groundbreaking source that covers either algorithms and applied sciences of interactive video clips, in order that companies in IT and information managements, scientists, academics, and software program engineers in video processing and computing device imaginative and prescient, coaches and teachers that use video know-how in educating, and eventually end-users of hyper video clips will significantly take advantage of it. This entire 4 half ebook comprises very good medical and up to date contributions made via a couple of pioneering scientists, futurists and specialists within the box. the 1st half introduces the reader to interactive and hyper video rhetoric, algorithms and applied sciences. It additionally offers potent automated audio-video summarization methodologies. within the moment half, a listing of complex machine imaginative and prescient and sign processing algorithms and platforms for computerized and semiautomatic research and enhancing of audio-video files are awarded. The 3rd half tackles a more difficult point of the transformation from uncooked to enriched video layout, filtering of the video content material through extracting and linking of highlights, occasions, and significant semantic devices. specifically, an in depth instance of the Computational Media Aesthetics strategy at paintings in the direction of knowing the semantics of educational media via computerized research for e-learning content material annotation is gifted. The final half is reserved for interactive video looking out engines, non-linear video content material searching and speedy video navigational systems.

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2 State of the Art in Video Summarization The automatic creation of multimedia summaries is a rather powerful tool which allows us to synthesize the entire content of a document while preserving the most important or most representative parts. Here, we concentrate on video summarization. In this respect, the creation of a video summary will result in a new document which may consist of an arrangement of video sequences or an arrangement of images. In other words, a video summary may take the form of a dynamic or a static document.

An obvious way to select candidate frames to summarize a video is to cluster features extracted from the video and identify representative keyframes from each cluster. Other approaches, view the video as a curve in 30 Benoit Huet and Bernard Merialdo a multi-dimensional space of feature where each video frame is represented as a point. In this framework proposed by DeMenthon et al. [77] the process of summarization corresponds to the selection of a set of points (frames) on the curve which retain as much as possible the general shape of the curve.

Fr 1 Introduction Due to the ever increasing number of multimedia documents one is potentially confronted with everyday, tools are eagerly awaited to ease the navigation through massive quantities of digital media files. Summaries provide an interesting solution to this problem. Indeed, by looking at a summarized version of documents one is able to quickly identify interesting or relevant documents. In this chapter, we present a brief review of recent approaches to video summarization, and then we propose our approach based on the Maximum Recollection Principle.

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