Study of Copyright Protection for Merchandise Pictures in E-Commerce
For solving the picture misappropriation problem in e-commerce,this paper proposes a content-based copyright detection method for e-commerce website pictures.First,a picture is smoothed by bilateral filter in order to effectively preserve the key points in the edges and low-contrast regions,which ensure the integrity of its key points.Second,the pictures texture feature is extracted by using Gabor filter,and the shape feature is captured by Hu moment.Third,feature vectors are assigned weights and normalized in order to reduce the effects of variations in their dimensions and components.Finally copyright-infringing pictures are detected by calculating the Euclidean distance and we use fuzzy heuristics to measure similarity between the query and the database images.The test dataset is crawled from the largest e-commerce website(Taobao.com).The copyright-infringing pictures can be detected by the method and the average accuracy reaches 91%,achieved the desired effect.
e-commerce picture misappropriation copyright detection fuzzy inference picture features
Liyi Zhang Chang Liu
School of information management Wuhan University Wuhan,China
国际会议
贵阳
英文
134-138
2015-08-18(万方平台首次上网日期,不代表论文的发表时间)