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Related Concept Videos

Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
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Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception.

Luming Zhang, Yongheng Shang, Ping Li

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    This summary is machine-generated.

    This study introduces a community-aware framework for computational photo quality evaluation, enhancing accuracy by considering specific image topics. The new model, using latent topic models and gaze shifting paths, better predicts human visual perception.

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    Area of Science:

    • Computer Vision and Graphics
    • Artificial Intelligence
    • Human-Computer Interaction

    Background:

    • Conventional photo quality models lack community-specific feature exploitation.
    • Existing methods indiscriminately characterize images across diverse communities.
    • There is a need for nuanced photo quality evaluation considering visual and semantic attributes.

    Purpose of the Study:

    • To develop a novel community-aware photo quality evaluation framework.
    • To uncover latent community-specific topics and capture human visual quality perception.
    • To improve the accuracy of computational photo quality assessment.

    Main Methods:

    • A regularized latent topic model (LTM) to uncover community-specific topics.
    • A ranking algorithm incorporating photo quality scores, semantic tags, and inter-region correlations.
    • Construction of gaze shifting paths (GSP) and their deep representation using aggregation-based CNN.
    • Incorporation of a regularizer into LTM to mitigate overfitting in small communities.

    Main Results:

    • The proposed framework effectively measures visual/semantic attractiveness of image regions.
    • Gaze shifting paths (GSP) derived from ranking algorithms show high consistency with human eye-tracking data.
    • Comparative studies demonstrate the competitiveness of the community-aware method on multiple image datasets.

    Conclusions:

    • The community-aware photo quality evaluation framework significantly enhances prediction accuracy.
    • The method successfully models GSP distribution across communities in latent space.
    • The approach offers a more refined understanding of human visual quality perception in digital images.