Amazon Technologies, Inc.

Sushanta Das

Kenneth Michael Benoit

Deep Dubey

Ankit Kumar Yadav

Nikhil Kajale

Tej Paul Verma

Eric Yuk-Hon Kan

Mark Robert Michener

Anup Gandotra

Adam Fluckey

Kalyanakrishnan Ananthanarayanan

Rajiv Kumar Poddar

Hooman Mahyar

Vimal Bhat

Harshal Dilip Wanjari

Kelvin Li

Kunwar Kanishk Singh

Dhrumil Mayank Kumar Upadhyaya

Michael John Ernest Wyatt

Thomas Chen

Neha Aggarwal

Xiaozhe Shi

Systems, methods, and computer-readable media are disclosed for systems and methods for automated video summary generation using textual quotes. Example methods may include determining first text representing a phrase spoken in video content, determining that the first text is present in first subtitle data of first video content, determining a first timestamp and a second timestamp associated with the first text in the first subtitle data, determining a first video segment of the first video content corresponding to the first timestamp and the second timestamp, and generating a first video summary for the first video content, the first video summary comprising the first video segment.

Automated video summary generation using textual quotes

Systems, methods, and computer-readable media are disclosed for systems and methods for on demand video recap generation. Example methods may include determining a first request to resume playback of video content, wherein the first request is associated with a user account, determining, using historical consumption data associated with the user account, a portion of the video content that has been consumed, where the portion of the video content comprises a first video segment and a second video segment, determining that a first video segment ranking of the first video segment satisfies an importance threshold, generating a video recap of the portion of the video content, wherein the video recap comprises the first video segment, and causing presentation of the video recap.

On demand video content summarization

Techniques for managing a parts catalog of part objects corresponding to media content items are provided. Upon receiving a request to build a new part object for a part provider management system for a new content item, one embodiment collects a plurality of contribution references corresponding to a plurality of contributions relating to the new content item. A new part object is built based on the plurality of contributions and using a part creation graph corresponding to a type of the new content item. The new part object is published to a parts catalog for the part provider management system, for consumption by one or more downstream systems.

Contributions and parts data pipeline framework

Techniques are described for detecting and replacing burned-in subtitles in image and video content.

Detection and replacement of burned-in subtitles

Techniques described herein are directed towards dynamically adding new pickup orders to an existing route structure. In at least some embodiments, a service provider separates a number of vendors into separate clusters based on one or more attributes. For example, the vendors may be separated by geographic region. The service provider may then identify a set of routes that are associated with each of the vendor clusters and run optimization techniques on that set of routes. The set of routes may be filtered based on attributes of the route. In some embodiments, the service provider may make a route alteration that accommodates the new pickup order.

Dynamic vehicle routing for regional clusters

Growing community of inventors

Kirkland, WA, United States of America

Sushanta Das