Exact Clothing Retrieval Approach Based On Deep Neural Network
In recent years,the trend of shopping for clothing on an onscreen character has been raising.Unfortunately,clothes that appear on screen could be difficult to track down,much less to purchase directly.It is a challenging task to find out exactly what the clothing in a TV show is from massive amounts of clothing items in online clothing retails due to the clearly noticeable visual discrepancies of the same clothing in video and in online shop photos.In order to tackle the problem,we adopt the deep neural network to learn recognizable clothing-specific feature for finding the exact clothing item in the video scenario among a large collection of online shop images.The experiments shows the clothing-specific feature is more effective in retrieval task and color filtering improve the retrieval performance.
deep neural network clothing image retrieval video scenario online shop images
Luo Xiao Xiong Yichao
Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai,China
国际会议
重庆
英文
396-400
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）