Amazon Technologies, Inc.

Fuji Xerox Co., Ltd.

Hanning Zhou

Sherif M Yacoub

Jian Liang

Lynn D Wilcox

Qiong Liu

Donald G Kimber

Matthew L Cooper

Patrick Chiu

Laurent Denoue

Tom Killalea

Ming Zhao

Xi Long

Xuping Zhang

Don Kimber

Jian Lin

Jack Yang

A document analysis module analyzes electronic media items and identifies regions and region types for the electronic media items. The document analysis module may use rules, typographical feature sets, and cluster analysis to identify regions and region types. The document analysis module may also receive user input and may use the user input to identify regions and region types. The document analysis module may further use template pages to identify regions and region types.

Document analysis for region classification

A method of providing fixed computer-displayable content in response to a consumer request for content is presented. Upon obtaining a digital image corresponding to the requested content, an advertisement is selected. The advertisement is to be included in an on-demand electronic content corresponding to the requested content. The advertisement is included with the digital image corresponding to the requested content. A fixed computer-displayable content corresponding to the requested content is generated. The fixed computer-displayable content is then provided to the consumer.

On-demand generating e-book content with advertising

A conversation management module receives user selections of sections in a digital media item from one or more users. The conversation management module also receives one or more comments associated with the selected sections. The conversation management module displays or provides conversation windows in a first portion of an interface, where each window associated with a selected section and displays comments associated with the selected section in the corresponding conversation window. The conversation management module also provides a list of users in a second portion of the interface and a list of keywords which appear in the comments in a third portion of the interface.

Multi-way and multi-thread conversation system

On-demand generating E-book content with advertising

Systems and methods for removing border objects from a page of digital image are presented. More particularly, in removing border objects from a page of a digital image, the following are performed. In the first place, a digital image having at least one page of content is obtained. A content area of content on the page is determined. Border objects in the region between the page margin and the content area are then located. For each located border object, the following two steps are performed. The located border object is evaluated according to a set of border criteria, and the located border object is removed if the evaluation of the border object indicates that the border object is to be removed. Thereafter, the updated digital image is stored in a content store.

Processing a digital image of content to remove border artifacts

Systems and methods for removing artifacts from a page of digital image are presented. More particularly, a digital image is obtained, the digital image having at least one page of content to be processed. A content bounding box is determined for the content of the page. Additionally, a set of segments is generating, the set corresponding to particular areas of the content within the content bounding box, each area associated with a type of content. For each segment of the set of segments, the following are performed. Despeckling criteria are selected for identifying artifacts according to the type associated with the segment. Artifacts are identified in the segment according to the despeckling criteria. The identified artifacts are then removed from the page. Thereafter, the updated digital image is stored in a content store.

Processing a digital image of content using content aware despeckling

A system and a method of customizing on-demand printed content are disclosed. In response to receiving a request from a consumer for on-demand printed content, content customization is determined. The determined customization is incorporated within the requested content and the on-demand printed content. Thereafter, and further responsive to the request, an on-demand printed copy of the requested content, including the incorporated customizations, is output for on-demand printing.

On-demand content customization

Embodiments of the present invention describe a collaborative framework for mining of surveillance videos to detect abnormal events, which introduces a two-stage training process to alleviate the high false alarm problem. In the first stage, unsupervised clustering is performed on the segments of the video streams and a set of abnormal events are combined with user feedback to generate a clean training set. In the second stage, the clean training set is used to train a more precise model for the analysis of normal events and the motion detection results from multiple cameras can be cross validated and combined. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

Unusual event detection via collaborative video mining

Embodiments of the present invention introduce a user navigation interface that allows a user to monitor/navigate video streams captured from multiple cameras. It integrates video streams from multiple cameras with the semantic layout into a 3-D immersive environment and renders the video streams in multiple displays on a user navigation interface. It conveys the spatial distribution of the cameras as well as their fields of view and allows a user to navigate freely or switch among preset views. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

System and method for user monitoring interface of 3-D video streams from multiple cameras

Embodiments of the present invention enable an image based controller to control and manipulate objects with simple point-and-capture operations via images captured by a camera enhanced mobile device. Powered by this technology, a user is able to complete many complicated control tasks via guided control of objects without utilizing laser pointers, IR transmitters, mini-projectors, or bar code tagging and/or customized wall paper are not needed for the environment control. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

System and method for interacting with objects via a camera enhanced mobile device

Embodiments of the present invention introduce a novel technique to analyze and monitor video streams captured from multiple cameras. It highlights the foreground region of the video streams via local alpha blending and displays the videos in an immersive 3-D environment. The spatial arrangement of the displays can be generated by multi-dimensional scaling of the amount of simultaneous motion across different video streams. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

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Seattle, WA, United States of America

Hanning Zhou