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Aesthetic Composition Indicator Based on Image Complexity

Aesthetic Composition Indicator Based on Image Complexity

Adrian Carballal (University of A Coruña, Spain), Luz Castro (University of A Coruña, Spain), Carlos Fernandez-Lozano (University of A Coruña, Spain), Nereida Rodríguez-Fernández (University of A Coruña, Spain), Juan Romero (University of A Coruña, Spain), and Penousal Machado (University of Coimbra, Portugal)
Copyright: © 2019 |Pages: 18
DOI: 10.4018/978-1-5225-7371-5.ch009
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Abstract

Several systems and indicators for multimedia devices have appeared in recent years, with the goal of helping the final user to achieve better results. Said indicators aim at facilitating beginner and intermediate photographers in the creation of images or videos with more professional aesthetics. The chapter describes a series of metrics related to complexity which seem to be useful for the purpose of assessing the aesthetic composition of an image. All the presented metrics are fundamental parts of the prototype “ACIC” introduced here, which allows an assessment of the aesthetics in the composition of the various frames integrating a video.
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State Of The Art

Santella, Agrawala, DeCarlo, Salesin, & Cohen (2006) presented a system which records user’s eye movements for a few seconds to identify important image content. The given approach is capable of generate crops of any size or aspect ratio. The main disadvantage is that the system incurs on requiring user input, so it can’t be considered a fully-computational approach. Once the important area of an image is detected, the crops are made considering three basics on photography: (i) include an entire subject and some context around, (ii) edges should pass through featureless areas whenever possible, (iii) the area of the subject matter should be maximized to increase clarity.

Key Terms in this Chapter

Subjective Phenomenon: As distinguished from “objective,” is a classification for mental phenomena that are not capable of objective validation, as in the case of physical phenomena.

Visual Artifacts: Are anomalies apparent during visual representation as in photography.

Visual Complexity: The level of detail or intricacy contained within an image.

Lossy Compression: The decompressed data will not be identical to the original uncompressed data.

Aesthetic Criteria: Standards upon which judgements are made about the artistic merit of a work of art.

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