Lucarella, D., S. Parisotto, and A. Zanzi (1993, November). MORE: Multimedia object retrieval environment. In Proceedings of the Fifth ACM Conference on Hypertext (Hypertext'93), Seattle, Washington, pp. 39--50.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... reasons: ffl Typing has been proven in hypertext as an aid for structuring (Nanard and Nanard 1991; Garzotto, Paolini, and Schwabe 1993) ffl Querying in hypertext has often been stated as a requirement (Halasz 1988; Consens and Mendelzon 1989; Beeri and Kornatzky 1990; Amann and Scholl 1992; Lucarella, Parisotto, and Zanzi 1993). Typing in our model is an aid not only to structuring, but also to querying. We admit that this could be even more effective if coupled to information retrieval by contents, but it is not in the scope of our work. ffl In addition to the classical hypertext author reader model, we introduce the ....

....and query languages are to our knowledge the first systematic uses of database modeling, not only as an authoring tool, but also as a reader query based navigation tool. All of these approaches (Consens and Mendelzon 1989; Afrati and Koutras 1990; Beeri and Kornatzky 1990; Amann and Scholl 1992; Lucarella et al. 1993) use queries for selecting (typed) paths in the graph of documents. Compared to other approaches using SQL and relational algebra (Gallagher, Furuta, and Stotts 1990) they are more powerful since they allow some recursion in paths. However, the importance of path recursion in hypertext navigation ....

[Article contains additional citation context not shown here]

Lucarella, D., S. Parisotto, and A. Zanzi (1993, November). MORE: Multimedia object retrieval environment. In Proceedings of the Fifth ACM Conference on Hypertext (Hypertext'93), Seattle, Washington, pp. 39--50.

....information by specifying spatial properties, templates, shapes, color etc. They should also be able to express queries by selecting and manipulating visual representations of hypermedia objects. Such a query language is being developed as part of the Multimedia Object Retrieval Environment [Lucarella et al. 1993]. It will be interesting to see the results of their work. More work is required in the use of belief networks or Bayesian inference networks for hypertext based IR. The computational complexity of these approaches need further investigation. Very little work has been done in the area of merging ....

. Lucarella, Dario, Parisotto, Stefano, and Zanzi, Antonella. MORE: Multimedia Object Retrieval Environment, Hypertext '93 Proceedings, ACM Press, 1993.

....information by specifying spatial properties, templates, shapes, color etc. They should also be able to express queries by selecting and manipulating visual representations of hypermedia objects. Such a query language is being developed as part of the Multimedia Object Retrieval Environment [Lucarella et al. 1993]. It will be interesting to see the results of their work. More work is required in the use of belief networks or Bayesian inference networks for hypertext based IR. The computational complexity of these approaches need further investigation. Very little work has been done in the area of merging ....

. Lucarella, Dario, Parisotto, Stefano, and Zanzi, Antonella. MORE: Multimedia Object Retrieval Environment, Hypertext '93 Proceedings, ACM Press, 1993.

....information. Most of the defined query 14 Chapter 1 specifications for images are based on one or a combination of the following approaches. Text based query: Most of the searching techniques in image databases are based on the use of keywords associated with the images or the video segments, [6]. Each image will have a set of attributes to describe relevant information or specific objects contained in the image. The information may include both Image Content and Image Spatial information. Ideally the attributes would be automatically assigned by the system during indexing process; ....

D. Lucarella, S. Parisotto, and A. Zanzi, "MORE: Multimedia Object Retrieval Environment," Proc. Hypertext'93, November 1993 pp. 39--50.

....objects without regard to the type of those objects or where they are stored. These relationships can then be accessed at a later time through a convenient user interface which allows the engineer to easily navigate them [30] 1 . Yet while some excellent work has taken place in this area [3, 4, 7, 9, 10, 11, 22, 24, 28, 29, 31], it is clear that no single system to date has effectively addressed all the technical challenges posed by this task. We believe that the following technical features are among those which need to be present in hypertext systems intended to support SDE activities 2 . Heterogeneous object editor ....

D. Lucarella, S. Parisotto, and A. Zanzi. MORE: Multimedia Object Retrieval Environment. In Proceedings of Hypertext'93, Seattle, Washington, November 1993.

....25, 24, 13] Previous work exploits this complementarity for building better document processors, browsers and editing tools, but not for building sophisticated querying mechanisms. Querying in hypertext has been a requirement since [19] and has already been elaborated in many hypertext systems [11, 7, 4, 21], but has not yet been used for hypertext systems superimposed on an underlying hierarchical logical structure. In this paper we use the model and the SQL like query language of [10] in order to manage structured documents with hypertext links. The model represents a structured document with typed ....

....could be constrained to the DTD or to a set of DTDs, and its physical presentation could be generated automatically in conformance with a generic physical structure. Recently, many researchers have studied the problem of hypertext querying (GraphLog [11] Beeri [7] GOOD [17] GRAM [4] and MORE [21]) These approaches view hypertext as a graph of information chunks which do not have an underlying backbone of logical hierarchical structure. On the other hand, much work has been devoted to querying structured mainly SGML document bases, but without taking seriously into account the ....

[Article contains additional citation context not shown here]

D. Lucarella, S. Parisotto, and A. Zanzi. MORE: Multimedia Object Retrieval Environment. In Hypertext '93, pages 39--50, Seattle, Washington USA, November 1993. ACM.

....Canada, Rocky Mountains, Jasper, Banff, Toronto, Vancouver, Montreal, etc. could be the keywords. It is very efficient to do keyword searching and matching. Most of the searching techniques in multimedia databases are based on the use of keywords associated with the images or the video segments [LPZ93, OT93] Part of the reason for using keyword querying is that such queries can be easily formulated using a standard query language, such as SQL. Two major drawbacks of keyword querying are the limitation of keywords and information loss. In many cases there are no proper words to describe an ....

D. Lucarella, S. Parisotto, and A. Zanzi. MORE: Multimedia object retrieval environment. In Proceedings of Hypertext'93, pages 39---50, November 1993.

....domains. In contrast, an example of how the insights gained by these experiences canbe exploited more fruitfully albeit at the cost of the restriction to a pure information retrieval system is given by the recent developments within the MORE multimedia information retrieval project [29, 30]. In WERKL we do not anticipate the adoption of automated feature extraction techniques for media contained in the data layer. Consequently, abstraction and reification of the content has do be done by hand. However, we believe that we can compensate for what at first sight might appear to be a ....

Lucarella D., Parisotto S., Zanzi A.: MORE: Multimedia Object Retrieval Environment, in: Hypertext '93 Proceedings, ACM, New York, 39--50, 1993.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC