Amazon Technologies, Inc.

Gabrielle M Halberg

Kenneth Mark Karakotsios

Isaac Scott Noble

Matthew Alan Townsend

Yuzo Watanabe

Bryan Harris

Douglas Sim Dietrich

Peter Van Tuyl Bentley

Geoff Hunter Donaldson

Huma Dawood Khatri

A system and method is provided for generating an edit decision list used to render a video summarization. The system may determine a structure indicating a pacing and a sequence of video clips included in the video summarization. The system may determine weighted priority metrics for a plurality of video clips, may identify first video clips having a weighted priority metric above a first threshold and may include the first video clips in the video summarization. The system may determine similarity scores for the plurality of video clips, identify second video clips having a weighted priority metric below the first threshold but above a second threshold and a similarity score below a third threshold and may include a portion of the second video clips in the video summarization. The system may determine layouts, apply special effects and transitions and synchronize music with the video summarization based on a theme and annotation data.

Video story assembly

A system and method for generating a corrected input to a display to offset glare is provided. The system determines a location of a user's head and calculates a reflection vector based on a head vector from a device to a point on the user's head. The system identifies light sources using a camera and determines display pixels on a display of the device affected by the reflection of the light sources based on head detection and locations of the light sources. The system dynamically adjusts pixel brightness to account for a detected glare, thus improving the user's experience operating the UI.

Glare correction via pixel processing

Various approaches enable automatic communication generation based on patterned behavior in a particular context. For example, a computing device can monitor behavior of a user to determine patterns of communication behavior in certain situations. In response to detecting multiple occurrences of the certain situation, a computing device can prompt a user to perform an action corresponding to the pattern of behavior. In some embodiments, a set of speech models corresponding to a type of contact is generated. The speech models include language consistent with patterns of speech between a user and the type of contact. Based on context and on the contact, a message using language consistent with past communications between the user and contact is generated from a speech model associated with the type of contact.

Customized speech generation

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Santa Cruz, CA, United States of America

Gabrielle M Halberg