Visual Saliency Computation A Machine Learning Perspective /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Li, Jia (Editor), Gao, Wen (Editor)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8408
Subjects:
Computer vision.
Artificial intelligence.
Data mining.
Computer Vision.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Online Access:Texto Completo
Table of Contents:
  • 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.

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