Visual Content Indexing and Retrieval with Psycho-Visual Models

• Corporate Author: SpringerLink (Online service)
• Other Authors: Benois-Pineau, Jenny (Editor), Le Callet, Patrick (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Multimedia Systems and Applications
• Subjects: Computer science.; Information storage and retrieval.; Multimedia information systems.; Artificial intelligence.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Information Storage and Retrieval.; Artificial Intelligence (incl. Robotics).; Multimedia Information Systems.

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...

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.