Abstract: Embodiments described herein enable a user to select a set of clothing or apparel. The selected set of clothing or apparel is rendered to appear as being worn, by rendering one or more regions of the selected set to appear pinched or shaded.

Abstract: Images are analyzed by programmatic mechanisms for accessing one or more remote web pages to retrieve content on display at the remote web pages. The retrieved images may be analyzed to determine information about an object shown in a corresponding image of the content on display. At least a portion of the object shown in the corresponding image of the content on display may be made selectable and associated with the determined information. This determined information may subsequently be used, in for example, search applications.

Abstract: A system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: Embodiments described herein provide a system and method for providing merchandise items at a network site. According to an embodiment, an image of a merchandise item is obtained. The image is programmatically analyzed to determine information about the merchandise item. The information is used to generate a presentation that includes the merchandise item.

Abstract: Embodiments described herein provide for a system for creating a data collection of recognized images. The system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images. Additionally, the manual interface enables the one or more human editors to view the plurality of panels concurrently and to interact with each of the plurality of panels in order to correct or remove any information that is incorrectly determined from the image of that panel.

Abstract: A method and system for detecting user interface gestures that includes obtaining an image from an imaging unit; identifying object search area of the images; detecting at least a first gesture object in the search area of an image of a first instance; detecting at least a second gesture object in the search area of an image of at least a second instance; and determining an input gesture from an occurrence of the first gesture object and the at least second gesture object.

Abstract: Embodiments programmatically analyze each of a plurality of images in order to determine one or more visual characteristics about an item shown in each of the plurality of images. Data is stored corresponding to the one or more visual characteristics. An interface in is provided for which a user is able to specify one or more search criteria. In response to receiving the one or more search criteria, a search operation is performed to identify one or more items that have a visual characteristic that satisfies at least some of the one or more search criteria.

Abstract: Embodiments described herein provide for a system for creating a data collection of recognized images. The system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images. Additionally, the manual interface enables the one or more human editors to view the plurality of panels concurrently and to interact with each of the plurality of panels in order to correct or remove any information that is incorrectly determined from the image of that panel.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: Supplemental content, such as advertisement media and promotional content, may be presented as seeds from which additional, highly relevant supplemental content may be provided to the user. The highly relevant supplemental content may be determined from criteria that is generated or associated with image content (and text and/or metadata) of the seed supplemental content.

Abstract: Embodiments described herein provide for a system for creating a data collection of recognized images. The system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images. Additionally, the manual interface enables the one or more human editors to view the plurality of panels concurrently and to interact with each of the plurality of panels in order to correct or remove any information that is incorrectly determined from the image of that panel.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: Embodiments programmatically analyze each of a plurality of images in order to determine one or more visual characteristics about an item shown in each of the plurality of images. Data is stored corresponding to the one or more visual characteristics. An interface in is provided for which a user is able to specify one or more search criteria. In response to receiving the one or more search criteria, a search operation is performed to identify one or more items that have a visual characteristic that satisfies at least some of the one or more search criteria.

Abstract: A method and apparatus for the detection of local image structures represented as clusters in a joint-spatial range domain where the method comprises receiving an input image made having one or more clusters in a joint-spatial range domain, and each of the one or more clusters having a corresponding mode. Receiving a set of analysis matrices and selecting through each one of the analysis matrices. Using the selected analysis matrix to partition the input image into the one or more clusters and their corresponding modes, and computing a mean, ?, and a local covariance matrix ? for each of the corresponding modes of each of the one or more clusters. Selecting at least one of the one or more clusters, where each selected cluster has a stable mean and stable covariance matrix across the set of analysis matrices, whereby each of the selected clusters is indicative of a local image structure.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: Embodiments described herein provide a system and method for providing merchandise items at a network site. According to an embodiment, an image of a merchandise item is obtained. The image is programmatically analyzed to determine information about the merchandise item. The information is used to generate a presentation that includes the merchandise item.

Abstract: Embodiments programmatically analyze each of a plurality of images in order to determine one or more visual characteristics about an item shown in each of the plurality of images. Data is stored corresponding to the one or more visual characteristics. An interface in is provided for which a user is able to specify one or more search criteria. In response to receiving the one or more search criteria, a search operation is performed to identify one or more items that have a visual characteristic that satisfies at least some of the one or more search criteria.

Abstract: Embodiments described herein provide for a system for creating a data collection of recognized images. The system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images. Additionally, the manual interface enables the one or more human editors to view the plurality of panels concurrently and to interact with each of the plurality of panels in order to correct or remove any information that is incorrectly determined from the image of that panel.