Apple Inc.

Yesvideo, Inc.

Brett M Keating

Todd Stephen Sachs

Justin S Titi

Claus Molgaard

Marco Zuliani

Elliott B Harris

Karl Hsu

Vincent Y Wong

Subutai Ahmad

Frank Doepke

Jeffrey A Brasket

George E Williams

Ethan J Tira-Thompson

Mikael Rousson

Claus Mølgaard

Vincent Yue-Tao Wong

Michael Rousson

Jeff Brasket

The invention relates to systems, methods, and computer readable media for responding to a user snapshot request by capturing anticipatory pre-snapshot image data as well as post-snapshot image data. The captured information may be used, depending upon the embodiment, to create archival image information and image presentation information that is both useful and pleasing to a user. The captured information may automatically be trimmed or edited to facilitate creating an enhanced image, such as a moving still image. Varying embodiments of the invention offer techniques for trimming and editing based upon the following: exposure, brightness, focus, white balance, detected motion of the camera, substantive image analysis, detected sound, image metadata, and/or any combination of the foregoing.

Method and apparatus for finding and using video portions that are relevant to adjacent still images

Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or 'other.' Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the 'other' category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.

Automated selection of keeper images from a burst photo captured set

For cameras that capture several images in a burst mode, some embodiments of the invention provide a method that presents one or more of the captured images differently than the remaining captured images. The method identifies at least one captured image as dominant image and at least another captured image as a non-dominant image. The method then displays each dominant image different from each non-dominant image in a concurrent presentation of the images captured during the burst mode. The dominant images may appear larger than non-dominant images, and/or appear with a marking that indicates that the images are dominant.

Identifying dominant and non-dominant images in a burst mode capture

Process-response statistical modeling of visual images can be used in determining similarity between visual images. Evaluation of the content of visual images&#x2014;and, in particular, image similarity determinations&#x2014;can be used in effecting a variety of interactions (e.g., searching, indexing, grouping, summarizing, annotating, keyframing) with a collection of visual images.

Use of image similarity in annotating groups of visual images in a collection of visual images

Process-response statistical modeling of visual images can be used in determining similarity between visual images. Evaluation of the content of visual images&#x2014;and, in particular, image similarity determinations&#x2014;can be used in effecting a variety of interactions (e.g., indexing, grouping, summarizing, annotating, searching keyframing) with a collection of visual images.

Process-response statistical modeling of a visual image for use in determining similarity between visual images

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San Jose, CA, United States of America

Brett M Keating