Média interactif

Résumé

vignette|Un DVD Vidéo comprend généralement un menu permettant à l'utilisateur de modifier des options ou d'accéder à du contenu supplémentaire. Un média interactif (Rich Media) intègre différents médias — sons, vidéos, photos, métadonnées —, présentés de manière interactive et temporelle au sein d'une interface de consultation ergonomique. La capacité du support à synchroniser l'audio et/ou la vidéo avec les autres supports est l'une des caractéristiques du Rich Media. Des contenus Rich Media peuvent s'appuyer sur tous types de formats vidéo (Windows Media Video, Flash Video, RealVideo, Mpeg4) et de technologies d'interfaces riches (Adobe Flash, HTML5, Microsoft Silverlight). Un exemple de contenu Rich Media peut par exemple être constitué d'une vidéo en diffusion en flux (streaming) chapitrée et agrémentée de diapositives défilant au rythme de la présentation, ainsi que de fichiers joints (fichiers de présentation originaux, liens, ...), augmentant ainsi l'interactivité avec l'util

Source officielle

https://fr.wikipedia.org/wiki/M%C3%A9dia_interactif

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Concepts associés (17)

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, ,

In this paper, we introduce a European research project, interactive media with personal networked devices (INTERMEDIA) in which we seek to progress beyond home and device-centric convergence toward truly user-centric convergence of multimedia. Our vision is to make the user the multimedia center: the user as the point at which multimedia services and the means for interacting with them converge. This paper proposes the main research goals in providing users with a personalized interface and content independent of physical networked devices, and space and time. As a case study, we describe an indoors, mobile mixed reality guide system: Chloe@University. With a see-through head-mounted display (HMD) connected to a small wearable computing device, Chloe@University provides users with an efficient way to guide someone in a building. A 3D virtual character in front of the user guides him/her to the required destination.

2008

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Mass selected cluster deposition in strongly or weakly interacting media

Wolfgang Harbich

Mass selected cluster deposition is discussed with respect to three questions: what is the integrity of the clusters after deposition; are they uniform in terms of size and isomerisation; and finally what is the influence of the support on the clusters? The answer to these questions will depend on the strength of cluster media interaction and we have chosen two extreme cases the inert rare gases on one hand and metal surfaces on the other. Three examples are given: Raman studies as well as low-temperature STM give structural information on the deposited clusters, while other optical spectroscopies (absorption and fluorescence) yield information on the electronic structure of the clusters.

2002

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Optimal Scheduling of Rich Media in a Rate-Distortion Sense

Pascal Frossard

We consider the transmission of variable bit rate video over a network offering a guaranteed service such as ATM VBR or the guaranteed service of the IETF. The guaranteed service requires that the flow accepted by the network has to be conforming with a traffic envelope; in return, it receives a service guarantee expressed by a network service curve. In order to satisfy the traffic envelope constraint, the output of the encoder is fed to a smoother, possibly with some look-ahead. The resulting stream is transported by the network; at the destination, the decoder waits for an initial playback delay and reads the stream from the receiver buffer. First, we consider the problem of whether there exists one optimal strategy at the smoother which minimizes the playback delay and the receiver buffer size, given the traffic envelope, the service curve and the fixed encoder output. We show that there does exist such an optimal smoothing, and give an explicit representation for it. Next, we show there exists other encoder outputs that require the same playback delay and receive buffer size when optimally smoothed with the same traffic envelope and service curve. We provide the theoretical bounds on the cummulative encoding rate such that the optimal smoothing solution meets both the channel and the client constraints. Experimental results exhibit significant improvements in terms of total average distortion compared to the smoothing of a fixed coder output, under equivalent traffic parameters and decoding constraints.

SPIE2002

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