Visual Saliency Computation (Record no. 55722)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03073nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-05642-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111844.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140412s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319056425 |
| -- | 978-3-319-05642-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.37 |
| 100 1# - AUTHOR NAME | |
| Author | Li, Jia. |
| 245 10 - TITLE STATEMENT | |
| Title | Visual Saliency Computation |
| Sub Title | A Machine Learning Perspective / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 240 p. 100 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Benchmark and evaluation metrics -- Location-based visual saliency computation -- Object-based visual saliency computation -- Learning-based visual saliency computation -- Mining cluster-specific knowledge for saliency ranking -- Removing label ambiguity in training saliency model -- Saliency-based applications -- Conclusions and future work. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Gao, Wen. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-05642-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 0302-9743 ; |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
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