Multimodal interactive handwritten text transcription / Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal.
Material type:
TextSeries: Series in machine perception and artificial intelligence ; v. 80.Publication details: Singapore : World Scientific Pub, 2012.Description: 1 online resource (xi, 167 pages) : illustrationsContent type: - text
- computer
- online resource
- 9789814390347
- 9814390348
- 1283593734
- 9781283593731
- 9786613906182
- 6613906182
- Natural language processing
- Natural language processing
- Writing -- Data processing
- Multimodal user interfaces (Computer systems)
- Human-computer interaction
- Écriture -- Informatique
- Interfaces utilisateurs multimodales (Systèmes informatiques)
- COMPUTERS -- Computer Vision & Pattern Recognition
- COMPUTERS -- Optical Data Processing
- Human-computer interaction
- Multimodal user interfaces (Computer systems)
- Writing -- Data processing
- 006.425 23
- QA76.9.U83 R66 2012eb
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical reference (pages 155-164) and index.
Print version record.
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.
English.
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