XPEN: an XML based format for distributed online handwriting recognition

Lenaghan, Andrew; Malyan, R.

doi:10.1109/icdar.2003.1227862

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…XML is a natural choice for the representation of annotation because of its hierarchical nature and extensibility [1,4]. The hwDataset representation in turn makes use of Digital Ink Markup Language (InkML) for the representation of the digital ink being annotated.…”

Section: Hwdatasetmentioning

confidence: 99%

UPX: a new XML representation for annotated datasets of online handwriting data

Agrawal

Bali

Madhvanath

et al. 2005

Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

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This paper introduces our efforts to create UPX, an XML-based successor to the venerable UNIPEN format for the representation of annotated datasets of online handwriting data. In the first part of the paper, shortcomings of the UNIPEN format are discussed and the goals of UPX are outlined. Prior work related to UPX in the form of the recently proposed hwDataset representation is presented. The second part of the paper summarizes the status of the UPX effort, in particular, experiments to map UNIPEN elements to hwDataset and InkML and identify potential issues with migrating existing UNIPEN data to UPX. This is work in progress, and we invite participation from the handwriting recognition research community and industry to make UPX a reality.

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Section: Hwdatasetmentioning

confidence: 99%

UPX: a new XML representation for annotated datasets of online handwriting data

Agrawal

Bali

Madhvanath

et al. 2005

Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

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Optical Character Recognition on a Grid Infrastructure

Petcu¹,

Panica²,

Banciu³

et al. 2007

Third International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'07)

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Making Large Music Collections Accessible using Enhanced Metadata and Lightweight Visualizations

Petcu

Panica

Banciu³

et al. 2007

Third International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'07)

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We present stategies for improving the accessibility of large music archives intended for use in commercial environments like music download platforms. Our approach is based on metadata enhancement and on the augmentation of traditional browsing interfaces with concise data visualizations. New metadata attributes are created by recombination and summarization of existing ones as well as through web-based data mining.

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XPEN: an XML based format for distributed online handwriting recognition

Cited by 4 publications

References 3 publications

UPX: a new XML representation for annotated datasets of online handwriting data

UPX: a new XML representation for annotated datasets of online handwriting data

Optical Character Recognition on a Grid Infrastructure

Making Large Music Collections Accessible using Enhanced Metadata and Lightweight Visualizations

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