Human Perception of Visual Information

Preface.- Chapter 1.- The Ingredients of Scenes That Affect Object Search and Perception.- Chapter 2.- Exploring Deep Fusion Ensembling for Automatic Visual Interestingness Prediction.- Chapter 3.- Affective Perception: The Power is in the Picture.- Chapter 4.- Computational Emotion Analysis From Images: Recent Advances and Future Directions.- Chapter 5.- The Interplay Of Objective And Subjective Factors In Empirical Aesthetics.- Chapter 6.- Advances and Challenges in Computational Image Aesthetics.- Chapter 7.- Shared Memories Driven by the Intrinsic Memorability of Items.- Chapter 8.- Memorability: an Image-computable Measure of Information Utility.- Chapter 9.- The Influence of Low.- and Mid-Level Visual Features on the Perception of Streetscape Qualities.- Chapter 10.- Who Sees What? Examining Urban Impressions in Global South Cities.

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• Interacção homem-computador
• Engenharia electrónica
• Processamento de imagens
• Cognição e psicologia cognitiva

human perception of visual information;interestingness prediction;induced emotion prediction;aesthetics prediction;memorability prediction;urbanness;humour prediction;physiological studies of human perception;machine learning for human perception;deep learning