clothing-search.md 1.3 KB

+++ abstract = "We present a mobile visual clothing search system whereby a smart phone user can either choose a social networking photo or take a new photo of a person wearing clothing of interest and search for similar clothing in a retail database. From the query image, the person is detected, clothing is segmented, and clothing features are extracted and quantized. The information is sent from the phone client to a server, where the feature vector of the query image is used to retrieve similar clothing products from online databases. The phone's GPS location is used to re-rank results by retail store location. State of the art work focuses primarily on the recognition of a diverse range of clothing offline and pays little attention to practical applications. Evaluated on a challenging dataset, the system is relatively fast and achieves promising results." authors = ["GA Cushen", "MS Nixon"] date = "2013-07-01" publication = "In IEEE International Conference on Multimedia and Expo Workshops (ICMEW)" title = "Mobile visual clothing search" url_code = "#" url_dataset = "#" url_image = "" url_pdf = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf" url_project = "#"

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