On Branded Handbag Recognition

作     者：Wang, Yan Li, Sheng Kot, Alex C. 

作者机构：Nanyang Technol Univ Sch Elect & Elect Engn Rapid Rich Object Search ROSE Lab Singapore 637553 Singapore Shanghai Univ Sch Commun & Informat Engn Shanghai 200444 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON MULTIMEDIA》 (IEEE Trans Multimedia)

年 卷 期：2016年第18卷第9期

页      面：1869-1881页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Research Foundation  Singapore  under its Interactive Digital Media Strategic Research Programme 

主　　题：Branded handbag recognition discriminative fine-grained object recognition 

摘      要：Manufacturing branded handbags is a big business in the fashion world. Shoppers feedback showing photos of their purchased handbags in social networks or blogs is important for branding purposes. In this paper, we deal with handbag recognition. It is a challenging problem due to the inter-class style similarity and the intra-class color variation. We focus on developing discriminative representations of handbag style and color. For handbag style representation, two supervised mid-level patch selection procedures are proposed to select discriminative patches, regarding individual classes and pairwise classes. We also propose a low-level complementary feature, extracted from texture-enhanced mid-level patches, to capture the fine details of the mid-level patches. For handbag color representation, we propose to extract dominant color features to handle the illumination changes. The performance of our proposed method is evaluated on a newly built branded handbag dataset. The results show that our method performs favorably in recognizing handbags, with around 10% improvement in accuracy when compared with the existing fine-grained or generic object recognition methods.