Classification and quality assessment of high quality digital photographs

Autor:	Wataru Kameyama, Supheakmungkol Sarin
Rok vydání:	2009
Předmět:	Research proposal Multimedia Quality assessment Computer science media_common.quotation_subject Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Quality (business) computer.software_genre computer media_common Visualization
Zdroj:	ACM Multimedia
DOI:	10.1145/1631272.1631537
Popis:	We are interested in high quality photographs. This paper outlines our research proposal for the tasks of classification and quality assessment. We address these challenges by exploring the aesthetics from the combined perspectives of the artists and the photographers. We propose to use the aesthetic primitives of images for visualization as a guideline for high and low-level image feature extraction and to classify this high quality content into six creative exposure themes, which are commonly followed by the professional photographers. Then, we suggest to evaluate the quality of the photograph accordingly to these themes. We solve the problems using statistical modeling and learning approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6bc5e00a52b2f1513613ec8d90a344d8 https://doi.org/10.1145/1631272.1631537 Zobrazit plný text záznamu