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| 001 | 000046050263 | |
| 005 | 20201020164912 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 201005s2014 gw a ob 000 0 eng d | |
| 020 | ▼a 9783662450000 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a QA268 |
| 082 | 0 4 | ▼a 003.54 ▼2 23 |
| 084 | ▼a 003.54 ▼2 DDCK | |
| 090 | ▼a 003.54 | |
| 100 | 1 | ▼a Huang, Yongzhen. |
| 245 | 1 0 | ▼a Feature coding for image representation and recognition ▼h [electronic resource] / ▼c Yongzhen Huang, Tieniu Tan. |
| 260 | ▼a Berlin ; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2014. | |
| 300 | ▼a 1 online resource (xiii, 74 p.) : ▼b ill. (some col.). | |
| 336 | ▼a text ▼b txt ▼2 rdacontent | |
| 337 | ▼a computer ▼b c ▼2 rdamedia | |
| 338 | ▼a online resource ▼b cr ▼2 rdacarrier | |
| 490 | 1 | ▼a SpringerBriefs in computer science, ▼x 2191-5768 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references. | |
| 505 | 0 | ▼a 1. Introduction -- 2. Taxonomy -- 3. Representative Feature Coding Algorithms -- 4. Evolution of Feature Coding -- 5. Experimental Study of Feature Coding -- 6. Enhancement via Integrating Spatial Information -- 7. Enhancement via Integrating High Order Coding Information -- 8. Conclusion. |
| 520 | ▼a This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) Discuss the applications of feature coding in different visual tasks, analyze the influence of some key factors in feature coding with intensive experimental studies; (5) Provide the suggestions of how to apply different feature coding methods and forecast the potential directions for future work on the topic. It is suitable for students, researchers, practitioners interested in object recognition. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Coding theory. |
| 650 | 0 | ▼a Image processing ▼x Digital techniques. |
| 700 | 1 | ▼a Tan, Tieniu. |
| 830 | 0 | ▼a SpringerBriefs in computer science. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-45000-0 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 003.54 | 등록번호 E14035123 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |