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Visual content indexing and retrieval with psycho-visual models

Author: Jenny Benois-Pineau; Patrick Le Callet
Publisher: Cham : Springer, 2017.
Series: Kluwer international series in engineering and computer science., Multimedia systems and applications.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 Human Visual System and the classical and most recent models in visual content indexing and retrieval. The large spectrum  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Visual content indexing and retrieval with psycho-visual models.
Cham : Springer, 2017
(OCoLC)981162829
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jenny Benois-Pineau; Patrick Le Callet
ISBN: 9783319576879 3319576879
OCLC Number: 1007061554
Description: 1 online resource.
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.
Series Title: Kluwer international series in engineering and computer science., Multimedia systems and applications.
Responsibility: Jenny Benois-Pineau, Patrick Le Callet, editors.

Abstract:

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  Read more...

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