Se-Won Kim1, Sang-Woong Lee2,*
CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 713-725, 2021, DOI:10.32604/cmc.2021.017292
Abstract As the amount of online video content is increasing, consumers are becoming increasingly interested in various product names appearing in videos, particularly in cosmetic-product names in videos related to fashion, beauty, and style. Thus, the identification of such products by using image recognition technology may aid in the identification of current commercial trends. In this paper, we propose a two-stage deep-learning detection and classification method for cosmetic products. Specifically, variants of the YOLO network are used for detection, where the bounding box for each given input product is predicted and subsequently cropped for classification. We use four state-of-the-art classification networks,… More >
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