オオニシ　タカユキ   Takayuki Onishi   大西　隆之    所属   千葉工業大学  情報変革科学部 情報工学科    職種   教授
発行・発表の年月	2019/09
形態種別	国際会議プロシーディングス
査読	査読あり
標題	Image Pre-Transformation for Recognition-Aware Image Compression
執筆形態	共著
掲載誌名	Proceedings - International Conference on Image Processing, ICIP
掲載区分	国外
巻・号・頁	2019-September,2686-2690頁
著者・共著者	Satoshi Suzuki,Motohiro Takagi,Kazuya Hayase,Takayuki Onishi,Atsushi Shimizu
概要	This paper describes a method for pre-transforming images before image compression. This method aims to preserve image recognition accuracy using deep neural network techniques, even for highly compressed images. In general, images compressed with high compression ratios negatively affect recognition accuracy. Our method prevents this by using image pre-transformation, reducing the bitrate while maintaining recognition accuracy. A deep encoder-decoder network model is used as the pre-transformation model. The model is learnt with a new loss function that combines recognition loss and the loss that increases the spatial correlation. We evaluated the method with two benchmark datasets: ImageNet 2012 and CUB-200-2011. Compared with original images, the bitrates for the images our method transformed were reduced by 21.5% on ImageNet 2012 while maintaining equivalent recognition accuracy when encoding with the H.265/HEVC video coding standard.
DOI	10.1109/ICIP.2019.8803275
ISSN	1522-4880