605,556 research outputs found

    TRECVID: benchmarking the effectiveness of information retrieval tasks on digital video

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    Many research groups worldwide are now investigating techniques which can support information retrieval on archives of digital video and as groups move on to implement these techniques they inevitably try to evaluate the performance of their techniques in practical situations. The difficulty with doing this is that there is no test collection or any environment in which the effectiveness of video IR or video IR sub-tasks, can be evaluated and compared. The annual series of TREC exercises has, for over a decade, been benchmarking the effectiveness of systems in carrying out various information retrieval tasks on text and audio and has contributed to a huge improvement in many of these. Two years ago, a track was introduced which covers shot boundary detection, feature extraction and searching through archives of digital video. In this paper we present a summary of the activities in the TREC Video track in 2002 where 17 teams from across the world took part

    A survey of digital television broadcast transmission techniques

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    This paper is a survey of the transmission techniques used in digital television (TV) standards worldwide. With the increase in the demand for High-Definition (HD) TV, video-on-demand and mobile TV services, there was a real need for more bandwidth-efficient, flawless and crisp video quality, which motivated the migration from analogue to digital broadcasting. In this paper we present a brief history of the development of TV and then we survey the transmission technology used in different digital terrestrial, satellite, cable and mobile TV standards in different parts of the world. First, we present the Digital Video Broadcasting standards developed in Europe for terrestrial (DVB-T/T2), for satellite (DVB-S/S2), for cable (DVB-C) and for hand-held transmission (DVB-H). We then describe the Advanced Television System Committee standards developed in the USA both for terrestrial (ATSC) and for hand-held transmission (ATSC-M/H). We continue by describing the Integrated Services Digital Broadcasting standards developed in Japan for Terrestrial (ISDB-T) and Satellite (ISDB-S) transmission and then present the International System for Digital Television (ISDTV), which was developed in Brazil by adopteding the ISDB-T physical layer architecture. Following the ISDTV, we describe the Digital Terrestrial television Multimedia Broadcast (DTMB) standard developed in China. Finally, as a design example, we highlight the physical layer implementation of the DVB-T2 standar

    Video-Remediations: From Transmission Medium to Data Landscape. Three Phases of Video-Remediations

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    The chapter reflects on the impact of video and video art from the 1960s on contemporary art forms a cultural paradigm of dynamic reality. Originally, the video format was remediating the reality of TV and film production and initiating a democratization of the medium, till the 1990s and further, when video, we argue, started a revolution that emancipated digital devices after which they themselves became a part of a digital world in which we live in. From then on remediations happen not only within the media, but also on a deeper, interconnected levels of digital reality. If one cannot talk about mediations without remediations, then every mediation is always already remediating the mediated world

    How the Internet Has Revolutionized Video Marketing

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    From the creation of film to the streaming of digital media, moving pictures have always been a premier medium of marketing. Today, the use of video in marketing offers an experience unlike any other for consumers by engaging them in an entertaining, yet informative, format. In the past few decades, the surge of the Internet has chan From the creation of film to the streaming of digital media, moving pictures have always been a premier medium of marketing. Today, the use of video in marketing offers an experience unlike any other for consumers by engaging them in an entertaining, yet informative, format. In the past few decades, the surge of the Internet has changed the way the business world functions and catalyzed video marketing into a new frontier. Online video marketing has taken the world by storm and offers corporations across the globe a simple, yet highly effective way to reach the masses.ged the way the business world functions and catalyzed video marketing into a new frontier. Online video marketing has taken the world by storm and offers corporations across the globe a simple, yet highly effective way to reach the masses

    Video shot boundary detection: seven years of TRECVid activity

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    Shot boundary detection (SBD) is the process of automatically detecting the boundaries between shots in video. It is a problem which has attracted much attention since video became available in digital form as it is an essential pre-processing step to almost all video analysis, indexing, summarisation, search, and other content-based operations. Automatic SBD was one of the tracks of activity within the annual TRECVid benchmarking exercise, each year from 2001 to 2007 inclusive. Over those seven years we have seen 57 different research groups from across the world work to determine the best approaches to SBD while using a common dataset and common scoring metrics. In this paper we present an overview of the TRECVid shot boundary detection task, a high-level overview of the most significant of the approaches taken, and a comparison of performances, focussing on one year (2005) as an example

    A query description model based on basic semantic unit composite Petri-Net for soccer video

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    Digital video networks are making available increasing amounts of sports video data. The volume of material on offer means that sports fans often rely on prepared summaries of game highlights to follow the progress of their favourite teams. A significant application area for automated video analysis technology is the generation of personalized highlights of sports events. One of the most popular sports around world is soccer. A soccer game is composed of a range of significant events, such as goal scoring, fouls, and substitutions. Automatically detecting these events in a soccer video can enable users to interactively design their own highlights programmes. From an analysis of broadcast soccer video, we propose a query description model based on Basic Semantic Unit Composite Petri-Nets (BSUCPN) to automatically detect significant events within soccer video. Firstly we define a Basic Semantic Unit (BSU) set for soccer videos based on identifiable feature elements within a soccer video, Secondly we design Composite Petri-Net (CPN) models for semantic queries and use these to describe BSUCPNs for semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic event queries based on BSUCPNs to search interactively within soccer videos. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach
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