Ebay, Incorporated

Ellis Shui-Man Luk

Selcuk Kopru

Valeri J Yee

Antonio Haro

Vikas Singh

Ashok Kumar Ramani

Various methods and systems for providing indications of inconsistent attributes of item listings associated in item listing videos. An item listing video—of an item listing—is accessed. The item listing video is accessed via an item listing interface of an item listing system. Extracted item features—via a machine learning engine—of an item from the item listing video, are accessed. The extracted item features are extracted based on listing-interface item features associated with listing the item. The extracted item features of the item are compared to the listing-interface item features of the item. Based on comparing the listing-interface item features to the extracted, an inconsistent attribute—between an extracted item feature and a listing-interface item feature that is associated with listing the item—is identified. An indication of an inconsistent attribute is communicated to cause display of the indication of the inconsistent attribute at the item listing interface.

Item feature accuracy operations and interfaces in an item listing system

A web-based item listing platform provides item listings that users can create or search. Item listings can be generated using structured information extracted while capturing an item listing video of the item. During creation of the item listing video, input prompts are provided to the user that cause a mobile device to provide an input request, such as taking an image of a specific feature of the item or providing some other item description information. During the item listing video, image recognition models may also be employed to determine other item description information, such as the color, the brand, and the like. The item listing can be generated from the item listing video by populating a set of structured data elements associated with an item description type. Each structured data element is populated with the item description information corresponding to the associated item description type.

Extracting structured data from video

A video is provided to viewers using a web-based platform without restricted audio, such as a copyrighted soundtrack. To do so, a video comprising at least two audio layers is received. The audio layers can include separate and distinct audio layers or a mix of audio from separate sources. A restricted audio element is identified in a first audio layer and a speech element is identified in a second audio layer. A stitched text string can be generated by performing speech-to-text on both audio layers and removing the text corresponding to the restricted audio element of the second audio layer. When playing back the video, a portion of the video is muted based on the restricted audio element. A voice synthesizer is employed to generate audible sound during the muted portion using the stitched text string.

Identifying and removing restricted information from videos

A web browser extension identifies graphic objects from images or video being presented by a web browser. Webpages related to the graphic objects are identified. Web links that facilitate navigation to the webpages are embedded over an area of the image corresponding to the identified graphic image. Where the graphic objects are identified within video, the web links are progressively embedded within graphic object boundaries of the graphic object as the graphic objects move locations during progression of the video. In this way, a user is able to interact with graphic objects of images and video to navigate to webpages related to the graphic objects. Some implementations provide a webpage redirect command at a stop point of the video so that the user can interact with graphic objects while the video is playing and without interrupting the video.

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San Francisco, CA, United States of America

Ellis Shui-Man Luk