Google Inc.

Motorola Mobility LLC

Google Technology Holdings LLC

Thomas T Lay

Bill Ryan

Doina I Petrescu

Jeffrey S Vanhoof

Steven R Petrie

Snigdha Sinha

Disclosed are techniques that provide a 'best' picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Enhanced image capture

Disclosed are techniques that provide a 'best' picture taken within a few seconds of the moment when a capture command is received (e.g., when the 'shutter' button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a &#x201c;best&#x201d; image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Techniques for classes of tables for use in image compression are described. Classes of tables for use in image compression may provide increased compression without a reduction in quality compared to conventional image compression techniques. In at least some implementations, a plurality of table classes are generated that correspond to a particular camera subsystem, each table class containing a Huffman table and a quantization table. When an image captured by the particular camera subsystem is encoded, a table class is selected based on camera subsystem parameters associated with the image, and the Huffman table and the quantization table of the selected table class are utilized to encode the image.

Classes of tables for use in image compression

A method, a system, and computer program product for correcting image artifacts in image data captured by a camera sensor in conjunction with a flash. The method includes extracting, from a buffer, an image data captured by at least one camera sensor. The method then includes determining, from a metadata of the image data, a face in the image data and a position of a first eye and a second eye. The method then includes selecting at least one region of interest around at least one of the first and the second eye based on a size of the face and a distance between the eyes. In response to selecting the at least one region of interest, at least one correction is applied to the at least one region of interest to reduce or eliminate the appearance of at least one image artifact in the image data.

Growing community of inventors

Highland Park, IL, United States of America

Thomas T Lay