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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Σειρά: | Multimedia Systems and Applications
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.