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Document Analysis and Recognition - ICDAR 2024 : 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI / edited by Elisa H. Barney Smith, Marcus Liwicki, Liangrui Peng.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Author/Creator:
- Barney Smith, Elisa H.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 14809
- Language:
- English
- Subjects (All):
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Computer engineering.
- Computer networks.
- Machine learning.
- Natural language processing (Computer science).
- Social sciences--Data processing.
- Social sciences.
- Education--Data processing.
- Education.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Engineering and Networks.
- Machine Learning.
- Natural Language Processing (NLP).
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Engineering and Networks.
- Machine Learning.
- Natural Language Processing (NLP).
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Physical Description:
- 1 online resource (456 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more. .
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031705526
- 3031705521
- OCLC:
- 1456141883
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