Multimodal interactive handwritten text transcription:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub
2012
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
v. 80 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical reference (p. 155-164) and index This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. The interactive scenario studied in this book combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of the handwritten text images. The interactive system here allows the user to repeatedly interact with the system. Hence, the quality and ergonomy of the interactive process is crucial for the success of the system. Moreover, more ergonomic multimodal interfaces are used to obtain an easier and more comfortable human-machine interaction 1. Preliminaries. 1.1. Introduction. 1.2. State of the art. 1.3. Formal background. 1.4. Assessing computer assisted transcription of handwritten text images -- 2. Corpora. 2.1. Introduction. 2.2. CS. 2.3. ODEC. 2.4. IAMDB. 2.5. UNIPEN -- 3. Handwritten text recognition. 3.1. Introduction. 3.2. Off-line handwritten text recognition. 3.3. On-line handwritten text recognition. 3.4. Summary and conclusions -- 4. Computer assisted transcription of handwritten text images. 4.1. Introduction. 4.2. Formal framework. 4.3. Adapting the language model. 4.4. Searching. 4.5. Increasing interaction ergonomy. 4.6. Interacting at the character level. 4.7. Experimental framework. 4.8. Results. 4.9. Conclusions and future work -- 5. Multimodal computer assisted transcription of handwritten text images. 5.1. Introduction. 5.2. Formal framework. 5.3. Adapting the language model. 5.4. Searching. 5.5. Experimental framework. 5.6. Results. 5.7. Conclusions -- 6. A web-based demonstrator of interactive multimodal transcription. 6.1. Introduction. 6.2. User interaction protocol. 6.3. System description. 6.4. Evaluation. 6.5. Results and discussion. 6.6. Conclusions -- 7. Conclusions and outlook. 7.1. Conclusions. 7.2. Outlook |
| Beschreibung: | 1 Online-Ressource (xi, 167 p.) |
| ISBN: | 9789814390330 9789814390347 981439033X 9814390348 |
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| 490 | 0 | |a Series in machine perception and artificial intelligence |v v. 80 | |
| 500 | |a Includes bibliographical reference (p. 155-164) and index | ||
| 500 | |a This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. The interactive scenario studied in this book combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of the handwritten text images. The interactive system here allows the user to repeatedly interact with the system. Hence, the quality and ergonomy of the interactive process is crucial for the success of the system. Moreover, more ergonomic multimodal interfaces are used to obtain an easier and more comfortable human-machine interaction | ||
| 500 | |a 1. Preliminaries. 1.1. Introduction. 1.2. State of the art. 1.3. Formal background. 1.4. Assessing computer assisted transcription of handwritten text images -- 2. Corpora. 2.1. Introduction. 2.2. CS. 2.3. ODEC. 2.4. IAMDB. 2.5. UNIPEN -- 3. Handwritten text recognition. 3.1. Introduction. 3.2. Off-line handwritten text recognition. 3.3. On-line handwritten text recognition. 3.4. Summary and conclusions -- 4. Computer assisted transcription of handwritten text images. 4.1. Introduction. 4.2. Formal framework. 4.3. Adapting the language model. 4.4. Searching. 4.5. Increasing interaction ergonomy. 4.6. Interacting at the character level. 4.7. Experimental framework. 4.8. Results. 4.9. Conclusions and future work -- 5. Multimodal computer assisted transcription of handwritten text images. 5.1. Introduction. 5.2. Formal framework. 5.3. Adapting the language model. 5.4. Searching. 5.5. Experimental framework. 5.6. Results. 5.7. Conclusions -- 6. A web-based demonstrator of interactive multimodal transcription. 6.1. Introduction. 6.2. User interaction protocol. 6.3. System description. 6.4. Evaluation. 6.5. Results and discussion. 6.6. Conclusions -- 7. Conclusions and outlook. 7.1. Conclusions. 7.2. Outlook | ||
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| 650 | 7 | |a Human-computer interaction |2 fast | |
| 650 | 7 | |a Multimodal user interfaces (Computer systems) |2 fast | |
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| 650 | 4 | |a Multimodal user interfaces (Computer systems) | |
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| 700 | 1 | |a Vidal, Enrique |e Sonstige |4 oth | |
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Datensatz im Suchindex
| _version_ | 1804175588197400576 |
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| any_adam_object | |
| author | Romero, Verónica |
| author_facet | Romero, Verónica |
| author_role | aut |
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| author_variant | v r vr |
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| dewey-full | 006.425 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.425 |
| dewey-search | 006.425 |
| dewey-sort | 16.425 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:18:40Z |
| institution | BVB |
| isbn | 9789814390330 9789814390347 981439033X 9814390348 |
| language | English |
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| spelling | Romero, Verónica Verfasser aut Multimodal interactive handwritten text transcription Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal Singapore World Scientific Pub 2012 1 Online-Ressource (xi, 167 p.) txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence v. 80 Includes bibliographical reference (p. 155-164) and index This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. The interactive scenario studied in this book combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of the handwritten text images. The interactive system here allows the user to repeatedly interact with the system. Hence, the quality and ergonomy of the interactive process is crucial for the success of the system. Moreover, more ergonomic multimodal interfaces are used to obtain an easier and more comfortable human-machine interaction 1. Preliminaries. 1.1. Introduction. 1.2. State of the art. 1.3. Formal background. 1.4. Assessing computer assisted transcription of handwritten text images -- 2. Corpora. 2.1. Introduction. 2.2. CS. 2.3. ODEC. 2.4. IAMDB. 2.5. UNIPEN -- 3. Handwritten text recognition. 3.1. Introduction. 3.2. Off-line handwritten text recognition. 3.3. On-line handwritten text recognition. 3.4. Summary and conclusions -- 4. Computer assisted transcription of handwritten text images. 4.1. Introduction. 4.2. Formal framework. 4.3. Adapting the language model. 4.4. Searching. 4.5. Increasing interaction ergonomy. 4.6. Interacting at the character level. 4.7. Experimental framework. 4.8. Results. 4.9. Conclusions and future work -- 5. Multimodal computer assisted transcription of handwritten text images. 5.1. Introduction. 5.2. Formal framework. 5.3. Adapting the language model. 5.4. Searching. 5.5. Experimental framework. 5.6. Results. 5.7. Conclusions -- 6. A web-based demonstrator of interactive multimodal transcription. 6.1. Introduction. 6.2. User interaction protocol. 6.3. System description. 6.4. Evaluation. 6.5. Results and discussion. 6.6. Conclusions -- 7. Conclusions and outlook. 7.1. Conclusions. 7.2. Outlook Natural language processing COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Natural language processing fast Human-computer interaction fast Multimodal user interfaces (Computer systems) fast Writing / Data processing fast Datenverarbeitung Writing Data processing Multimodal user interfaces (Computer systems) Human-computer interaction Toselli, Alejandro Héctor Sonstige oth Vidal, Enrique Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=478626 Aggregator Volltext |
| spellingShingle | Romero, Verónica Multimodal interactive handwritten text transcription Natural language processing COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Natural language processing fast Human-computer interaction fast Multimodal user interfaces (Computer systems) fast Writing / Data processing fast Datenverarbeitung Writing Data processing Multimodal user interfaces (Computer systems) Human-computer interaction |
| title | Multimodal interactive handwritten text transcription |
| title_auth | Multimodal interactive handwritten text transcription |
| title_exact_search | Multimodal interactive handwritten text transcription |
| title_full | Multimodal interactive handwritten text transcription Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal |
| title_fullStr | Multimodal interactive handwritten text transcription Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal |
| title_full_unstemmed | Multimodal interactive handwritten text transcription Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal |
| title_short | Multimodal interactive handwritten text transcription |
| title_sort | multimodal interactive handwritten text transcription |
| topic | Natural language processing COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Natural language processing fast Human-computer interaction fast Multimodal user interfaces (Computer systems) fast Writing / Data processing fast Datenverarbeitung Writing Data processing Multimodal user interfaces (Computer systems) Human-computer interaction |
| topic_facet | Natural language processing COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Optical Data Processing Human-computer interaction Multimodal user interfaces (Computer systems) Writing / Data processing Datenverarbeitung Writing Data processing |
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