| M. Dalal, S. Feiner, K. McKeown, et al. Negotiation for automated generation of temporal multimedia presentations. In Proc. ACM Multimedia, 1996. |
....the qualitative relations between multimedia objects. There are several languages for specifying multimedia documents with different ways of expressing the temporal dimension: SMIL [W3C, 1998] expresses the positioning of multimedia objects with parallel and sequence operators on intervals; Magic [Dalal et al. 1996] and Madeus [Layada, 1997] use a restriction of the Allen algebra of temporal intervals. The document of Figure 1 can be expressed qualitatively. For instance, the Authors object starts after and finishes with the Title object; the Authors object meets the Outline object. From such a ....
....Real difficulties arise when hypermedia and temporal and spatial dimensions are considered together. As a matter of fact, the presence of hypermedia links which, when triggered by the users, jump to other parts of the presentation, introduce non determinism in the interpretation of documents [Dalal et al. 1996; Fargier et al. 1998] This non determinism does not easily fit with the conceptual neighbourhood approach which favours continuity. A further analysis shows that the temporal information contained in specifications is not sufficient for a good adaptation. For instance, considering two panels ....
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Mukesh Dalal, Steven Feiner, Kathleen McKeown, Shimei Pan, Michelle X. Zhou, Tobias Hollerer, James Shaw, Yong Feng, and Jeanne Fromer. Negotiation for automated generation of temporal multimedia presentations. In ACM Multimedia conference, pages 55-- 64, Boston (MA US), 1996.
....frame (b) Video Composition Hierarchy Figure 3.1. Segmentation of Video Data and Structural Composition Hierarchy start constraints for the next set of presentation frames have to be specified so that the selected value as well as the ending of the brancher are taken into account. Dalal et al.[Dalal 96] also reports a system that automates the generation of multimedia presentations. Their approach is to use multi stage negotiations. However, their reported work mainly deals with temporal coordination, concentrating on temporal and spatial constraints for speech, text, and graphical highlights. ....
....of multimedia presentations. Their approach is to use multi stage negotiations. However, their reported work mainly deals with temporal coordination, concentrating on temporal and spatial constraints for speech, text, and graphical highlights. While they briefly describe their architecture[Dalal 96] the details are not specified and they do not seem to deal with constraint based automation. 3 A Simple Multimedia Data Model In this paper, the coverage of the data model is very brief as it is only used to facilitate the presentation assembly problem. Amuch more detailed discussion of the ....
Dalal, M., Feiner, S., McKeown, K., Pan, S., Zhou, M., Hollerer, T., Shaw, J., Feng, Y., Fromer, J., Negotiation for Automated Generation of Temporal Multimedia Presentations, Proc., ACM Multimedia Conf., Boston, 1996.
....communication problems resulting from the deficiencies of using just one medium. The purpose of this chapter is to survey techniques for building IMMPSs, drawing upon lessons learned during the development of natural language generators. To 3 Application Sample Systems report generation MAGIC [23], PostGraphe [29] SAGE [43] RoCCo [6] technical documentation COMET [30] IDAS [60] PPP [10] Visual Repair [31] and WIP [5] route directions MOSES [48] mission planning and situation monitoring AIMI [51] CUBRICON [57] FLUIDS [36] project management EDWARD [17] IGING [26] business ....
....more local revisions by explicitly representing the effects of each section of the presentation. In the last few years, extensions of operator based approaches have become increasingly popular for the generation of multimedia presentations, too. Examples include AIMI [51] FLUIDS [36] MAGIC [23], MAGPIE [34] PPP [9] WIP [5] and a recent extension of SAGE [43] The main idea behind these systems is to generalize communicative acts to multimedia acts and to formalize them as operators of a planning system. The effect of a planning operator refers to a complex communicative goal while the ....
M. Dalal, S. Feiner, K. McKeown, S. Pan, M. Zhou, T. Hollerer, J. Shaw, Y. Feng, and J. Fromer. Negotiation for Automated Generation of Temporal Multimedia Presentations. In ACM Multimedia 96, pages 55--64. ACM Press, 1996. 25
.... PPP [4] 57 20 PPP architecture [4] 57 21 Architecture of COMET [67, 27] 58 22 The architecture of the MAGIC system [21] . 59 23 The standard reference architecture [12] 61 24 WIP and PPP compared to the standard reference model [4] 62 List of Tables 1 Terms used to describe the two main ....
.... of the C f list [102] 40 10 Definition of Lift [36] 41 11 User stereotypes and knowledge levels in KNOME [17] 47 12 A comparison of systems [58, 21] . 60 13 Trucks in hypothetical world . 65 1 Introduction Language is one of the distinguishing features of human intelligence, encompassing in its subject matter all we know or ....
[Article contains additional citation context not shown here]
M. Dalal, S. Feiner, K. McKeown, S. Pan, M. Zhou, T. H¨ollerer, J. Shaw, Y. Feng, and J. Fromer. Negotiation for automated generation of temporal multimedia presentations. In Proceedings of the Fourth ACM International Multimedia Conference, pages 55--64, Boston, MA, November 1996.
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M. Dalal, S. Feiner, K. McKeown, et al. Negotiation for automated generation of temporal multimedia presentations. In Proc. ACM Multimedia, 1996.
No context found.
M. Dalal, S. Feiner, K. McKeown, S. Pan, M. Zhou, T. Hoellerer, J. Shaw, Y. Feng, and J. Fromer. Negotiation for automated generation of temporal multimedia presentations. In Proceedings of ACM Multimedia '96, pages 55--64, 1996.
No context found.
M. Dalal, S. Feiner, K. McKewon, S. Pan, M. Zhou, T. Hollerer, J. Shaw, Y. Feng, and J. Fromer. Negotiation for automated generation of temporal multimedia presentations. Submitted, 1996.
No context found.
Mukesh Dalal, Steve Feiner, Kathy McKeown, Shimei Pan, Michelle Zhou, Tobias Hoellerer, James Shaw, Yong Feng, and Jeanne Fromer. 1996. Negotiation for automated generation of temporal multimedia presentations. In Proceedings of ACM Multimedia 1996, pages 55--64.
....goal. Since multiple items may be displayed graphically at any one time, Magic uses synchronized speech and highlighting to help the user focus on the current topic and find the illustrated information referred to by speech. In order to achieve a coordinated presentation, our work uses negotiation [4] to arrive at an ordering of spoken references that is compatible with the order of highlighting. We want to use a highlighting order that is regular and does not jump around the screen; at the same time, speech should be natural. In addition to coordinating ordering, spoken references must be ....
....while it is being verbally described. In this section, we describe how the speech generator produces different orderings to make the task of media coordination easier. Input to the speech generator is represented in a hierarchical presentation plan produced by Magic s high level content planner [4]. The task for the speech generator is to determine how to order the basic information units of the plan in speech, where a basic information unit corresponds to the lowest level goal, or smallest unit, within the plan. Ordering in speech is influenced by how information units are distributed ....
[Article contains additional citation context not shown here]
M. Dalal, S. Feiner, K. McKewon, S. Pan, M. Zhou, T. Hollerer, J. Shaw, Y. Feng, and J. Fromer. Negotiation for automated generation of temporal multimedia presentations. Submitted, 1996.
....only once in the data. In the following sections, we illustrate these issues in the context of CTS research we are carrying out in MAGIC (Multimedia Abstract Generation of Intensive Care data) a system that generates multimedia briefings of a patient s status after having a bypass operation (Dalal et al. 1996; McKeown et al. 1997) We first describe information MAGIC generates in the process of producing language, turning next to the corpora we collected. We then provide a description of the more traditional approach to prosody modeling, using machine learning that generalizes over many examples, ....
Dalal, M. & Feiner, S. & McKeown, K. & Pan, S. & Zhou, M. & Hollerer, T. & Shaw, J. & Feng, Y. & Fromer, J. 1996 Negotiation for automated generation of temporal multimedia presentations. In Proc. ACM Multimedia, 1996, pp. 55--64.
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Mukesh Dalal, Steven Feiner, Kathleen McKeown, Shimei Pan, Michelle Zhou, Tobias Hollerer, James Shaw, Yong Feng, and Jeanne Fromer. 1996. Negotiation for automated generation of temporal multimedia presentations. In Proceedings of ACM Multimedia 1996.
....must avoid conveying mis information which reliance on the synthesizers defaults may result in. The speech generation work discussed here is part of a larger e ort in developing an intelligent multimedia presentation generation system called MAGIC (Medical Abstract Generation for Intensive Care) (Dalal et al. 1996). In MAGIC, given a patient s medical record stored at Columbia Presbyterian Medical Center (CPMC) s on line database system, the system automatically generates a postoperative status report for a patient who has just undergone bypass surgery. There are two media speci c generators in MAGIC: a ....
M. Dalal, S. Feiner, K. McKeown, S. Pan, M. Zhou, T. Hoellerer, J. Shaw, Y. Feng, and J. Fromer. 1996. Negotiation for automated generation of temporal multimedia presentations. In Proc. of ACM Multimedia 96, pages 55-64.
No context found.
M. Dalal, S. Feiner, K. McKeown, S. Pan, M. Zhou, T. Hollerer, J. Shaw, Y. Feng, and J. Fromer. 1996b. Negotiation for automated generation of temporal multimedia presentations.
No context found.
Dalal M. et al., "Negotiation for Automated Generation of Temporal Multimedia Presentations. ", Proceedings of ACM Multimedia'96, ACM Press (1996) pp. 55-64.
No context found.
Dalal, M. et al., 1996. Negotiation for Automated Generation of Temporal Multimedia Presentations. Proc. ACM Multimedia 96. pp. 55 to 64.
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