Visual Saliency Computation A Machine Learning Perspective /

• Κύριοι συγγραφείς: Li, Jia (Συγγραφέας), Gao, Wen (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Computer Science, 8408
• Θέματα: Computer science.; Data mining.; Artificial intelligence.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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...

Πίνακας περιεχομένων:

• 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.