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Symbol Spotting in Digital Libraries: Focused Retrieval over Graphic-rich Docume
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所在地：Fairfield, Ohio, 美國
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- ISBN-13
- 9781447161790
- Book Title
- Symbol Spotting in Digital Libraries
- ISBN
- 9781447161790
- Subject Area
- Computers, Technology & Engineering, Language Arts & Disciplines
- Publication Name
- Symbol Spotting in Digital Libraries : Focused Retrieval over Graphic-Rich Document Collections
- Item Length
- 9.3 in
- Publisher
- Springer London, The Limited
- Subject
- Computer Graphics, Library & Information Science / Archives & Special Libraries, Databases / General, Computer Vision & Pattern Recognition, Imaging Systems
- Publication Year
- 2014
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 6.1 in
- Item Weight
- 16 Oz
- Number of Pages
- Xiv, 180 Pages
關於產品
Product Information
Pattern recognition basically deals with the recognition of patterns, shapes, objects, things in images. Document image analysis was one of the very ?rst applications of pattern recognition and even of computing. But until the 1980s, research in this ?eld was mainly dealing with text-based documents, including OCR (Optical Character Recognition) and page layout analysis. Only a few people were looking at more speci'c documents such as music sheet, bank cheques or forms. The community of graphics recognition became visible in the late 1980s. Their speci'c interest was to recognize high-level objects represented by line drawings and graphics. The speci'c pattern recognition problems they had to deal with was raster-to-graphics conversion (i.e., recognizing graphical primitives in a cluttered pixel image), text-graphics separation, and symbol recognition. The speci'c problem of symbol recognition in graphical documents has received a lot of attention. The symbols to be recognized can be musical notation, electrical symbols, architectural objects, pictograms in maps, etc. At ?rst glance, the symbol recognition problems seems to be very similar to that of character recognition; - ter all, characters are basically a subset of symbols. Therefore, the large know-how in OCR has been extensively used in graphical symbol recognition: starting with segmenting the document to extract the symbols, extracting features from the s- bols, and then recognizing them through classi'cation or matching, with respect to a training/learning set.
Product Identifiers
Publisher
Springer London, The Limited
ISBN-10
1447161793
ISBN-13
9781447161790
eBay Product ID (ePID)
211934260
Product Key Features
Publication Name
Symbol Spotting in Digital Libraries : Focused Retrieval over Graphic-Rich Document Collections
Format
Trade Paperback
Language
English
Subject
Computer Graphics, Library & Information Science / Archives & Special Libraries, Databases / General, Computer Vision & Pattern Recognition, Imaging Systems
Publication Year
2014
Type
Textbook
Subject Area
Computers, Technology & Engineering, Language Arts & Disciplines
Number of Pages
Xiv, 180 Pages
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Item Weight
16 Oz
Additional Product Features
Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.9.D3
Reviews
From the reviews: "This monograph is a clearly written and accessible survey and framework for the field, and it should prove useful to researchers and students in computer vision, pattern recognition, and related fields. It would also be instructive for advanced practitioners in these areas ... . References are provided at the end of each chapter for researchers who need or want to refer to the primary literature. In short, this book is a concise, readable, and informative resource on its specialized problem domain and related areas." (R. M. Malyankar, ACM Computing Reviews, October, 2010)
Table of Content
State-of-the-Art in Symbol Spotting.- On the Use of Photometric Descriptors for Symbol Spotting.- Symbol Spotting for Document Categorization.- On the Use of Geometric and Structural Constraints for Symbol Spotting.- Vectorial Signatures for Symbol Recognition and Spotting.- Symbol Spotting Through Prototype-based Search.- A Relational Indexing Method for Symbol Spotting.- A Performance Evaluation Protocol for Symbol Spotting Systems.- Performance Evaluation of Symbol Spotting Systems.- Conclusions.
Copyright Date
2010
Dewey Decimal
025.04
Dewey Edition
22
Illustrated
Yes
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物品所在地：
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