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Visual Content Indexing and Retrieval with Psycho-Visual Models

This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Huma...

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Bibliographic Details
Other Authors: Benois-Pineau, Jenny (Editor), Le Callet, Patrick (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Multimedia Systems and Applications
Subjects:
Computer Vision
Multimedia Systems
Artificial Intelligence
Information Storage And Retrieval
Information Storage And Retrieval Systems
Multimedia Information Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Visual content indexing and retrieval with psycho-visual models
  • Perceptual Texture Similarity for Machine Intelligence Applications
  • Deep Saliency: Prediction of Interestingness In Video With CNN
  • Introducing Image Saliency Information Into Content Based Indexing And Emotional Impact Analysis
  • Saliency Prediction for Action Recognition
  • Querying Multiple Simultaneous Video Streams with 3D Interest Maps
  • Information theoretical model for saliency prediction. Application to Attentive CBIR
  • Image retrieval based on query by saliency content
  • Visual Saliency for the Visualization of Digital Paintings
  • Predicting Interestingness of Visual Content
  • Glossary

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