id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hqldezt47zh77osmtolncbctrm	Yang	A Multi-Column Deep Framework for Recognizing Artistic Media	2019	20	.pdf	application/pdf	11150	1093	65	Abstract: We present a multi-column structured framework for recognizing artistic media from artwork schemes that recognize and classify artwork images and photographs according to their styles. present a deep network-based approach for recognizing artistic media from artwork images and classifying the artwork images according to their creating artistic media. The unique stroke patterns of an artistic medium on an artwork image present a key to recognize Patches containing stroke textures for pencil and watercolor artwork (a) Input artwork image; strategies to enrich our framework that classifies and recognizes artistic media from artwork images. strategy in two stages: The stroke patterns in the patches sampled from an artwork image are processed Our approach for recognizing artistic media from artwork images can be employed for evaluating that synthesizes artwork images by simulating artistic media, such as pencil, oil paint, watercolor, Our recognizer for artistic media from artwork images is designed based on the existing CNN	./cache/work_hqldezt47zh77osmtolncbctrm.pdf	./txt/work_hqldezt47zh77osmtolncbctrm.txt