Selective visual attention computatuonal models and applications
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applica...
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| Format: | Book |
| Language: | English |
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Singapore
John Wiley
2013
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| 039 | 9 | |a 201402241539 |b faizin |c 201312121217 |d shahrim |c 201311151609 |d syuhada |c 201311151219 |d syuhada |y 201309131519 |z izwani | |
| 040 | |a UPNM | ||
| 090 | |a TA 1634 |b .Z45 2013 | ||
| 100 | 1 | |a Zhang, Liming | |
| 245 | 1 | 0 | |a Selective visual attention |b computatuonal models and applications |c Liming Zhang, Weisi Lin |
| 260 | |a Singapore |b John Wiley |c 2013 | ||
| 300 | |a xi, 332 p. |b ill. |c 24 cm. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | |a Part 1. Basic concepts and theory. -- 1. Introduction to visual attention -- 2. Background of visual attention-theory and experiments -- Part 2. Computational attention models. -- 3. Computational models in the spatial domain -- 4. Fast bottom-up computational models in the spectral domain -- 5. Computational models for top-down visual attention -- 6. Validation and evaluation for visual attentional models -- Part 3. Applications of attention selection models. -- 7. Applications in computer vision, image retrieval and robotics -- 8. Application of attention models in image processing -- Part 4. Summary. -- 9. Summary, further discussions and conclusions | ||
| 520 | |a Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications. This book provides an up-to-date and highly applied introduction to this topic, aiding researchers in creating powerful computer vision systems and practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots. | ||
| 592 | |a 9378 |b 23/10/2013 |c RM431.48 |h Rima | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Selectivity (Psychology) |x Computer simulation. | |
| 650 | 0 | |a Image processing. | |
| 700 | 1 | |a Lin, Weisi | |
| 999 | |a vtls000050101 |c 49442 |d 49442 | ||