Content-Based Image Retrieval : Ideas, Influences, and Current Trends
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| Testületi szerző: | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Singapore : Springer Singapore,
2017
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| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-981-10-6759-4 |
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A tételhez itt fűzhet saját címkét!
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| id |
opac-EUL01-000954336 |
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| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Tyagi, Vipin. EUL10001021258 Y Content-Based Image Retrieval Ideas, Influences, and Current Trends by Vipin Tyagi Singapore Springer Singapore 2017 XXXIV, 378 p. ill. szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Chapter 1. Introduction to Image Retrieval -- Chapter 2. Image Features -- Chapter 3. Content-based Multimedia Information Retrieval: State-of-the-art and Challenges -- Chapter 4. Images Matching through Region-based Similarity Technique -- Chapter 5. Visual Features In Image Retrieval Through CBIR -- Chapter 6. Content based Image Retrieval -- Chapter 7. Mathematical Tools for Image Retrieval -- Chapter 8. Text based Image Retrieval -- Chapter 9. Content based Image Retrieval of Texture Images -- Chapter 10. Content based Image Retrieval of Natural Images -- Chapter 11. Color based Image Retrieval -- Chapter 12. Shape based Image Retrieval -- Chapter 13. Geographical image Based Retrieval -- Chapter 14. Query Processing Issues in Region-based Image Retrieval -- Chapter 15. Research Topics for Next Generation Content based Image Retrieval -- Bibliography -- Appendix A: Image Databases. The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike. Nyomtatott kiadás: ISBN 9789811067587 Nyomtatott kiadás: ISBN 9789811067600 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book számítógépes látás informatika EUL10000467497 Y adatszerkezetek számítástechnika EUL10000228522 Y optikai alakfelismerés EUL10001010632 Y mérnöki matemtika Computer vision. EUL10000467498 Y Data structures (Computer scienc. Optical pattern recognition. EUL10001087156 Y Engineering mathematics EUL10000420160 Y Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021 Data Structures, Cryptology and Information Theory. http://scigraph.springernature.com/things/product-market-codes/I15009 Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X Signal, Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051 Mathematical Applications in Computer Science. http://scigraph.springernature.com/things/product-market-codes/M13110 Mathematical and Computational Engineering. http://scigraph.springernature.com/things/product-market-codes/T11006 elektronikus könyv SpringerLink (Online service) közreadó testület Online változat https://doi.org/10.1007/978-981-10-6759-4 Singapore Springer Singapore Imprint: Springer 2017 EUL01 |
| language |
English |
| format |
Book |
| author |
Tyagi, Vipin. |
| spellingShingle |
Tyagi, Vipin. Content-Based Image Retrieval : Ideas, Influences, and Current Trends számítógépes látás -- informatika adatszerkezetek -- számítástechnika optikai alakfelismerés mérnöki matemtika Computer vision. Data structures (Computer scienc. Optical pattern recognition. Engineering mathematics Image Processing and Computer Vision. Data Structures, Cryptology and Information Theory. Pattern Recognition. Signal, Image and Speech Processing. Mathematical Applications in Computer Science. Mathematical and Computational Engineering. elektronikus könyv |
| author_facet |
Tyagi, Vipin. SpringerLink (Online service), közreadó testület |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Tyagi, Vipin. |
| title |
Content-Based Image Retrieval : Ideas, Influences, and Current Trends |
| title_sub |
Ideas, Influences, and Current Trends |
| title_short |
Content-Based Image Retrieval |
| title_full |
Content-Based Image Retrieval Ideas, Influences, and Current Trends by Vipin Tyagi |
| title_fullStr |
Content-Based Image Retrieval Ideas, Influences, and Current Trends by Vipin Tyagi |
| title_full_unstemmed |
Content-Based Image Retrieval Ideas, Influences, and Current Trends by Vipin Tyagi |
| title_auth |
Content-Based Image Retrieval Ideas, Influences, and Current Trends |
| title_sort |
content based image retrieval ideas influences and current trends |
| publishDate |
2017 |
| publishDateSort |
2017 |
| physical |
XXXIV, 378 p. : ill. |
| isbn |
978-981-10-6759-4 |
| callnumber-raw |
14460 |
| callnumber-search |
14460 |
| topic |
számítógépes látás -- informatika adatszerkezetek -- számítástechnika optikai alakfelismerés mérnöki matemtika Computer vision. Data structures (Computer scienc. Optical pattern recognition. Engineering mathematics Image Processing and Computer Vision. Data Structures, Cryptology and Information Theory. Pattern Recognition. Signal, Image and Speech Processing. Mathematical Applications in Computer Science. Mathematical and Computational Engineering. elektronikus könyv |
| topic_facet |
számítógépes látás -- informatika adatszerkezetek -- számítástechnika optikai alakfelismerés mérnöki matemtika Computer vision. Data structures (Computer scienc. Optical pattern recognition. Engineering mathematics Image Processing and Computer Vision. Data Structures, Cryptology and Information Theory. Pattern Recognition. Signal, Image and Speech Processing. Mathematical Applications in Computer Science. Mathematical and Computational Engineering. elektronikus könyv számítógépes látás adatszerkezetek optikai alakfelismerés mérnöki matemtika Computer vision. Data structures (Computer scienc. Optical pattern recognition. Engineering mathematics Image Processing and Computer Vision. Data Structures, Cryptology and Information Theory. Pattern Recognition. Signal, Image and Speech Processing. Mathematical Applications in Computer Science. Mathematical and Computational Engineering. informatika számítástechnika |
| url |
https://doi.org/10.1007/978-981-10-6759-4 |
| illustrated |
Illustrated |
| first_indexed |
2023-12-27T16:54:49Z |
| last_indexed |
2023-12-30T20:26:37Z |
| recordtype |
opac |
| publisher |
Singapore : Springer Singapore |
| _version_ |
1786736173258899458 |
| score |
13,364235 |
| generalnotes |
The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike. |