Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction.
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| Title: | Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction. |
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| Authors: | Burger, Thomas1, Caplier, Alice2, Perret, Pascal1 |
| Source: | EURASIP Journal on Image & Video Processing. 2007 Special Issue 3, Vol. 2007, p1-19. 19p. 9 Color Photographs, 1 Illustration, 6 Diagrams, 2 Charts, 7 Graphs. |
| Subjects: | Cued speech, Means of communication for deaf people, Sign language, Hard of hearing people, People with disabilities, Hearing disorders |
| Abstract: | Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence. [ABSTRACT FROM AUTHOR] |
| Copyright of EURASIP Journal on Image & Video Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 43314562 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burger%2C+Thomas%22">Burger, Thomas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Caplier%2C+Alice%22">Caplier, Alice</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Perret%2C+Pascal%22">Perret, Pascal</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Image+%26+Video+Processing%22">EURASIP Journal on Image & Video Processing</searchLink>. 2007 Special Issue 3, Vol. 2007, p1-19. 19p. 9 Color Photographs, 1 Illustration, 6 Diagrams, 2 Charts, 7 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cued+speech%22">Cued speech</searchLink><br /><searchLink fieldCode="DE" term="%22Means+of+communication+for+deaf+people%22">Means of communication for deaf people</searchLink><br /><searchLink fieldCode="DE" term="%22Sign+language%22">Sign language</searchLink><br /><searchLink fieldCode="DE" term="%22Hard+of+hearing+people%22">Hard of hearing people</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+disabilities%22">People with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Hearing+disorders%22">Hearing disorders</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of EURASIP Journal on Image & Video Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2007/73703 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Subjects: – SubjectFull: Cued speech Type: general – SubjectFull: Means of communication for deaf people Type: general – SubjectFull: Sign language Type: general – SubjectFull: Hard of hearing people Type: general – SubjectFull: People with disabilities Type: general – SubjectFull: Hearing disorders Type: general Titles: – TitleFull: Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burger, Thomas – PersonEntity: Name: NameFull: Caplier, Alice – PersonEntity: Name: NameFull: Perret, Pascal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2007 Special Issue 3 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 16875176 Numbering: – Type: volume Value: 2007 Titles: – TitleFull: EURASIP Journal on Image & Video Processing Type: main |
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