Content-Based Photo Quality Assessment

Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In this paper, we propose content-based photo quality assessment using both regional and global features. Under this framew...

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Vydané v:	IEEE transactions on multimedia Ročník 15; číslo 8; s. 1930 - 1943
Hlavní autori:	Tang, Xiaoou, Luo, Wei, Wang, Xiaogang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.12.2013 Institute of Electrical and Electronics Engineers
Predmet:	Applied sciences Benchmark testing Clarity contrast composition geometry Computer science; control theory; systems content-based dark channel Data processing. List processing. Character string processing Exact sciences and technology Feature extraction Geometry hue composition Information systems. Data bases Memory organisation. Data processing photo quality assessment Quality assessment scene composition Software Training Visualization Computer vision Landscape Internet protocol hue composition Very large databases Online algorithm Ground truth scene composition Adaptive method Visual perception content-based dark channel Classification Quality control Content-based retrieval Clarity contrast Aesthetics photo quality assessment Pattern extraction composition geometry Visual control
ISSN:	1520-9210, 1941-0077
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