| MADCOW: a multimedia digital annotation system |
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AVI
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Proceedings of the working conference on Advanced visual interfaces
table of contents
Gallipoli, Italy
SESSION: Improving interaction
table of contents
Pages: 55 - 62
Year of Publication: 2004
ISBN:1-58113-867-9
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Authors
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Paolo Bottoni
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Università di Roma La Sapienza, Roma, Italy
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Roberta Civica
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Università di Roma La Sapienza, Roma, Italy
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Stefano Levialdi
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Università di Roma La Sapienza, Roma, Italy
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Laura Orso
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Università di Roma La Sapienza, Roma, Italy
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Emanuele Panizzi
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Università di Roma La Sapienza, Roma, Italy
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Rosa Trinchese
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Università di Roma La Sapienza, Roma, Italy
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| Bibliometrics |
Downloads (6 Weeks): 7, Downloads (12 Months): 80, Citation Count: 8
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ABSTRACT
Digital annotation of multimedia documents adds information to a document (e.g. a web page) or parts of it (a multimedia object such as an image or a video stream contained in the document). Digital annotations can be kept private or shared among different users over the internet, allowing discussions and cooperative work. We study the possibility of annotating multimedia documents with objects which are in turn of multimedial nature. Annotations can refer to whole documents or single portions thereof, as usual, but also to multi-objects, i.e. groups of objects contained in a single document. We designed and developed a new digital annotation system organized in a client-server architecture, where the client is a plug-in for a standard web browser and the servers are repositories of annotations to which different clients can login. Annotations can be retrieved and filtered, and one can choose different annotation servers for a document. We present a platform-independent design for such a system, and illustrate a specific implementation for Microsoft Internet Explorer on the client side and on JSP/MySQL for the server side.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 8
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Paolo Bottoni , Stefano Levialdi , Anna Labella , Emanuele Panizzi , Rosa Trinchese , Laura Gigli, MADCOW: a visual interface for annotating web pages, Proceedings of the working conference on Advanced visual interfaces, May 23-26, 2006, Venezia, Italy
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Ling Chen , Gen-Cai Chen , Cheng-Zhe Xu , Jack March , Steve Benford, EmoPlayer: A media player for video clips with affective annotations, Interacting with Computers, v.20 n.1, p.17-28, January, 2008
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