”TEACH ME PHOTOGRAPHY, ROBOT.” A CASE STUDY REGARDING VISUAL EDUCATION
”TEACH ME PHOTOGRAPHY, ROBOT.” A CASE STUDY REGARDING VISUAL EDUCATION

Summary/Abstract: Visual arts-mediated education and training are inherent to the learning process irrespective of its traditional, digital, or hybrid formats. Photography entails creative functions while the image creator implicitly needs to be enabled through training to produce compositions that observe communication rules while simultaneously breaking wittingly the same rules. The current paper identifies quality criteria underlying highly rated photographs and features an artistic composition-based section. The main factors that influence the composition are the rule of thirds (division, point of interest), repetition (frequency, constant, resumption), symmetry (weight, variety, middle), HSL (Hue, Saturation, Brightness), empty space, use of background (subtle, main, flattening), balance (harmony, chromatic, unity), hierarchy (focus, eye direction). Many masterpieces are consciously eluding the above rules. The images are rioting against the mundanity and impersonal. The photographic composition escapes from the templates shown above, the images arouse the viewer, who needs a "key" to decipher them. This kind of visual approach has a semantic load that raises it above the fast-comprehension photo if the viewer makes the effort to accept and decipher it. The suggested artistic compositions are manually segmented into areas of interest (objects, lines, characters, etc.) accompanied by well-articulated interpretations, as they are perceived by a visual arts connoisseur. Furthermore, the authors describe sets of image data currently used in the automated assessment of image quality: IDEA, Painting-91, SCUT-FBP5500, Waterloo IAA, IAD, AVA, GPD, FACD, NU FOOD, CUHKPO, BAM, NNID. The paper is simultaneously a starting point for a subsequent set of high-quality photographs and an adequate learning resource for fields of study such as multimedia, arts, and social media.

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