|
@@ -25,9 +25,6 @@ publication_short = "In *ICMEW*"
|
|
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."
|
|
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."
|
|
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."
|
|
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."
|
|
|
|
|
|
-# Featured image thumbnail (optional)
|
|
|
|
-image_preview = ""
|
|
|
|
-
|
|
|
|
# Is this a selected publication? (true/false)
|
|
# Is this a selected publication? (true/false)
|
|
selected = true
|
|
selected = true
|
|
|
|
|
|
@@ -63,15 +60,15 @@ doi = ""
|
|
# Does this page contain LaTeX math? (true/false)
|
|
# Does this page contain LaTeX math? (true/false)
|
|
math = true
|
|
math = true
|
|
|
|
|
|
-# Does this page require source code highlighting? (true/false)
|
|
|
|
-highlight = true
|
|
|
|
-
|
|
|
|
# Featured image
|
|
# Featured image
|
|
-# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
|
|
|
|
-[header]
|
|
|
|
-image = "headers/bubbles-wide.jpg"
|
|
|
|
-caption = "My caption :smile:"
|
|
|
|
-
|
|
|
|
|
|
+# 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.
|
|
More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code.
|