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				|  |  |  title = "Mobile visual clothing search"
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				|  |  |  date = 2013-07-01T00:00:00
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				|  |  | -draft = false
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				|  |  |  # Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.
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				|  |  |  authors = ["GA Cushen", "MS Nixon"]
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				|  | @@ -21,13 +20,22 @@ publication_types = ["1"]
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				|  |  |  publication = "In *International Conference on Multimedia and Expo Workshops (ICMEW)*, IEEE."
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				|  |  |  publication_short = "In *ICMEW*"
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				|  |  |  
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				|  |  | -# Abstract and optional shortened version.
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				|  |  | +# Abstract.
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				|  |  |  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."
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				|  |  | -abstract_short = "A mobile visual clothing search system is presented whereby a smart phone user can either choose a social networking image or capture a new photo of a person wearing clothing of interest and search for similar clothing in a large cloud-based ecommerce database. The phone's GPS location is used to re-rank results by retail store location, to inform the user of local stores where similar clothing items can be tried on."
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				|  |  | +
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				|  |  | +# Summary. An optional shortened abstract.
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				|  |  | +summary = "A mobile visual clothing search system is presented whereby a smart phone user can either choose a social networking image or capture a new photo of a person wearing clothing of interest and search for similar clothing in a large cloud-based ecommerce database. The phone's GPS location is used to re-rank results by retail store location, to inform the user of local stores where similar clothing items can be tried on."
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				|  |  | +# Digital Object Identifier (DOI)
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				|  |  | +doi = ""
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				|  |  |  # Is this a featured publication? (true/false)
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				|  |  |  featured = true
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				|  |  | +# Tags (optional).
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				|  |  | +#   Set `tags = []` for no tags, or use the form `tags = ["A Tag", "Another Tag"]` for one or more tags.
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				|  |  | +tags = []
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				|  |  | +
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				|  |  |  # Projects (optional).
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				|  |  |  #   Associate this publication with one or more of your projects.
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				|  |  |  #   Simply enter your project's folder or file name without extension.
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				|  | @@ -36,10 +44,6 @@ featured = true
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				|  |  |  #   Otherwise, set `projects = []`.
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				|  |  |  projects = ["internal-project"]
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				|  |  | -# Tags (optional).
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				|  |  | -#   Set `tags = []` for no tags, or use the form `tags = ["A Tag", "Another Tag"]` for one or more tags.
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				|  |  | -tags = []
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				|  |  | -
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				|  |  |  # Links (optional).
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				|  |  |  url_pdf = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf"
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				|  |  |  url_preprint = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf"
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				|  | @@ -55,9 +59,6 @@ url_source = "#"
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				|  |  |  #   Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
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				|  |  |  url_custom = [{name = "Custom Link", url = "http://example.org"}]
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				|  |  | -# Digital Object Identifier (DOI)
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				|  |  | -doi = ""
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				|  |  | -
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				|  |  |  # Does this page contain LaTeX math? (true/false)
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				|  |  |  math = true
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