+++ title = "Mobile visual clothing search" date = 2013-07-01T00:00:00 # Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`. authors = ["GA Cushen", "MS Nixon"] # Publication type. # Legend: # 0 = Uncategorized # 1 = Conference paper # 2 = Journal article # 3 = Manuscript # 4 = Report # 5 = Book # 6 = Book section publication_types = ["1"] # Publication name and optional abbreviated version. publication = "In *International Conference on Multimedia and Expo Workshops (ICMEW)*, IEEE." publication_short = "In *ICMEW*" # Abstract. 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." # Summary. An optional shortened abstract. 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." # Digital Object Identifier (DOI) doi = "" # Is this a featured publication? (true/false) featured = true # Tags (optional). # Set `tags = []` for no tags, or use the form `tags = ["A Tag", "Another Tag"]` for one or more tags. tags = [] # Projects (optional). # Associate this publication with one or more of your projects. # Simply enter your project's folder or file name without extension. # E.g. `projects = ["deep-learning"]` references # `content/project/deep-learning/index.md`. # Otherwise, set `projects = []`. projects = ["internal-project"] # Links (optional). url_pdf = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf" url_preprint = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf" url_code = "#" url_dataset = "#" url_project = "" url_slides = "#" url_video = "#" url_poster = "#" url_source = "#" # Custom links (optional). # Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`. links = [{name = "Custom Link", url = "http://example.org"}] # Does this page contain LaTeX math? (true/false) math = true # Featured image # To use, add an image named `featured.jpg/png` to your page's folder. [image] # Caption (optional) caption = "Image credit: [**Unsplash**](https://unsplash.com/photos/pLCdAaMFLTE)" # Focal point (optional) # Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight focal_point = "" +++ More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code.