Apple Inc.

Other

Hewlett-packard Development Company, L.p.

Hewlett-packard Company

Emc Corporation

Jerremy Holland

Russell Y Webb

Jan Erik Solem

Brian Everett Meaney

Garrett M Johnson

Colleen M Pendergast

Dave Cerf

Mohamed E Dekhil

Charles Lyons

Michaelle Stikich

Mike Stern

Peter A Steinauer

Melissa Breglio

Abhishek A Sharma

Avi Elias Cieplinski

Tomas Jon Pfister

Russell Mackay Reid

Nicholas Elia Apostoloff

Siddharth Khullar

Tai-Peng Tian

Eric Taylor Seymour

Evan Randy Kirshenbaum

Kave Eshghi

Egan Schulz

Gregory Evan Niles

Ken Matsuda

Ronald Brown

John M Green

Tom Langmacher

Yin Zhou

Vijay Machiraju

Phillip W Love

John Duncan Bankier

Cuneyt Oncel Tuzel

Pankaj K Garg

Klaus Wurster

Anne Swenson

Iroro F Orife

Anupriya Ramraj

Martin L Griss

William E Hensler

John Cowan

Stuart MacNeil

Eric McCall

Dennis Morgan

Steve Smead

Chris Fleizach

Dean Hudson

Paul Wen Shen

Modifying operation of an intelligent agent in response to facial expressions and/or emotions.

Intelligent software agent

A voxel feature learning network receives a raw point cloud and converts the point cloud into a sparse 4D tensor comprising three-dimensional coordinates (e.g. X, Y, and Z) for each voxel of a plurality of voxels and a fourth voxel feature dimension for each non-empty voxel. In some embodiments, convolutional mid layers further transform the 4D tensor into a high-dimensional volumetric representation of the point cloud. In some embodiments, a region proposal network identifies 3D bounding boxes of objects in the point cloud based on the high-dimensional volumetric representation. In some embodiments, the feature learning network and the region proposal network are trained end-to-end using training data comprising known ground truth bounding boxes, without requiring human intervention.

Voxel-based feature learning network

By providing 3D representations of noteworthy locations for comparison with images, the 3D location of the imaging device, as well as the orientation of the device may be determined. The 3D location and orientation of the imaging device then allows for enhanced navigation in a collection of images, as well as enhanced visualization and editing capabilities. The 3D representations of noteworthy locations may be provided in a database that may be stored local or remote to the imaging device or a programmable device processing images obtained from the imaging device.

Automatic detection of noteworthy locations

A system and method for providing companion content on a device that downloads content associated with a media presentation playing on a media player and displays the downloaded content at times synchronized to time-offsets (from the start of the program) of the presentation by signals from the media player.

System and method for delivering companion content

Techniques and mechanisms are provided for facilitating the capture and review of visual images by visually impaired users. In one implementation, these techniques and mechanisms provide pre image capture functionality and captured image review functionality. With the pre image capture functionality, audio messages are provided to the user to help the user position an image capturing mechanism properly to capture the desired subjects in a picture, to frame the subjects properly within the picture, to size the subjects properly within the picture, etc. With the image review functionality, audio messages are provided to the user to help the user enjoy and 'visualize' a visual image that has been captured and is being displayed to the user. With these functionalities, a visually impaired user is able capture and review images to a much greater degree than is currently possible.

Facilitating image capture and image review by visually impaired users

Systems, methods, and computer readable media for adjusting the orientation of an image frame and a scene depicted in the image frame are described. In general, techniques are disclosed for analyzing an image with one or more feature detectors to identify features in the image. An alignment or position associated with one or more features identified in the image may be used to determine a proper orientation for the image frame. The image can then be rotated to the proper orientation. It may also be determined if a scene depicted in the image is properly aligned in the rotated image orientation. If not, alignment information associated with the identified features may be utilized to straighten the depicted scene.

Automatic image orientation and straightening through image analysis

Some embodiments of the image editing and organizing application described herein provide a multi-stage automatic enhancement process. The process takes an input image and feeds it through multiple different enhancement operations. The multiple enhancement operations of some embodiments are carried out in a particular order. In some embodiments, the particular order starts with exposure adjustment, then a white balance adjustment, then a vibrancy adjustment, then a tonal response curve adjustment, then a shadow lift adjustment.

Method and system for multi-stage auto-enhancement of photographs

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for automatically analyzing, modifying, and mixing a plurality of audio signals. The modification of the audio signals takes place to avoid spectral collisions which occur when more than one signal simultaneously occupies one or more of the same frequency bands. The modifications mask out some signals to allow others to exist unaffected. Also disclosed herein is a method for displaying the identified spectral collisions superimposed on graphical waveform representations of the analyzed signals.

System and method for automated audio mix equalization and mix visualization

Some embodiments provide a computer readable medium storing a media editing application for creating multimedia presentations. The application includes a graphical user interface (GUI). The GUI includes a composite display area for displaying a portion of a timeline to which multimedia clips are assigned to create a composite media presentation. The timeline is divided into user-defined segments. The GUI includes an outline window for displaying a list of selectable items representing the user-defined segments, the selectable items for use in applying various operations to the user-modifiable segments. In some embodiments, the various operations include operations to insert a new segment into the timeline, to merge at least two segments into one segment, to hide a particular segment from view, to focus on a particular segment or group of segments in the composite display area, as well as other operations.

Graphical user interface for a media-editing application with a segmented timeline

Techniques for automatically identifying famous people and/or iconic images are provided. Object descriptors (or 'faceprints') of the famous people and iconic images are generated and 'shipped' with a digital image management application used by an end-user. The digital image management application analyzes a digital image (generated, for example, by a digital camera operated by the end-user) to detect an object, such as a face, and generates a faceprint. The digital image management application compares the faceprint to the faceprints of the famous people and/or iconic images. If a match is found, then data that identifies the corresponding person or object is displayed to the end-user.

Auto-recognition for noteworthy objects

Some embodiments provide a method that receives a timeline that includes several pieces of content. The method receives user input to divide the timeline into hierarchical segments of varying duration. The method defines associations between the pieces of content and at least one hierarchical level of the segments. In some embodiments, the method is performed by a media-editing application and the pieces of content are media clips inserted into the timeline by a user.

Segmented timeline for a media-editing application

Growing community of inventors

Los Altos Hills, CA, United States of America

Jerremy Holland