A9.com, Inc.

Amazon Technologies, Inc.

Erick Cantu-Paz

Arnab Sanat Kumar Dhua

Francois Huet

Jagadeshwar Nomula

Chetan Pitambar Bhole

Eran Borenstein

Anish Ramdas Nair

Himanshu Arora

Tracy Holloway King

Whitney Gale Spathelf

David Mark Ciemiewicz

Priyank Singh

Images can be used to determine the size of an article of clothing matching the physical characteristics of a user. An image can include an article of clothing known to fit well or a representation of a body part, which can comprise the body part itself. Images can also include a reference item. Various techniques are used to determine one or more perspective distortions in the image based on analysis of the reference item and information known about the reference item. The one or more perspective distortions can be accounted for to determine physical characteristics of the article of clothing or the body part associated with the article of clothing. The physical characteristics can be used to determine the size of an article of clothing matching, or corresponding to, the physical characteristics.

Accurate size selection

Various approaches provide for determining the selection and/or ranking of items to display based at least in part upon the probabilities of a user being interested in those items. The probabilities can be based on profile information of a user. The profile information can include a three-dimensional virtual model of the user. When a search for content is received, the information for the three-dimensional virtual model can be used to determine a set of items. For each item, a matching score quantifying a visual appreciation can be determined based on how well an item virtually 'fits' the three-dimensional virtual model. Based on the matching score, the selection and/or ranking of items to display can be determined. In some situations, the items can be shown to appear to be worn by the three-dimensional virtual model. The user can purchase items, cause item information to be presented to other users or sent to other devices, and/or perform other such actions.

Displaying relevant content

Disclosed are various embodiments for a navigation element. An insertion point is identified in a ranking of search results. A navigation element is included in the search results. A selection of the navigation element modifies a constraint used to generate the search result.

Search navigation element

The selection of content to present to a user can be based at least in part upon probabilities of the user selecting to view more information and/or entering into a transaction with respect to instances of the content. For example, user behavior with respect to various queries provided through a content provider can be determined in order to calculate a probability that a user was searching for a particular image. The user behavior can include historical action data, such as information that indicates images associated with an action (e.g., selected, purchased, etc.) in response to a particular image search. The historical action data can be analyzed to generate an index that indicates a likelihood that the search was intended for a particular image. Once an image query is received, items of interest can be determined using the index, and those images and associated content can be presented to the user.

Determine image relevance using historical action data

Video content can be analyzed to identify particular sections of the video content. Speech to text or similar techniques can be used to obtain a transcription of the video content. The transcription can be indexed (e.g., timestamped) to the video content. Information describing how users are interacting with or consuming the video content (e.g., social media information, viewing history data, etc.) can be collected and used to identify the particular sections. Once the particular sections have been identified, other services can be provided. For example, custom trailers and summaries of the video content can be generated based on the identified sections. Additionally, the video content can be augmented to include additional information relevant to the particular sections, such as production information, actor information, or other information. The additional information can be added so as not to interfere with the important sections.

Section identification in video content

Techniques to determine the three-dimensional structure of wearable items are disclosed. A scanning device can project waves at a wearable item and receive reflections of the waves. In embodiments, the scanning device projects light pulses and detects reflections of the light pulses. Depth measurements from the scanning device to the wearable item can be used to determine points corresponding to locations on the wearable item. A point cloud can be generated of the points, which can convey the three-dimensional structure of the wearable item. In embodiments, another wearable item can be determined to have a corresponding three-dimensional structure based on point cloud comparisons. The second wearable item can be suggested to a user as a wearable item having an appropriate fit for the user.

Growing community of inventors

San Jose, CA, United States of America

Erick Cantu-Paz