Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2005-02-28
2009-08-25
Alam, Hosain T (Department: 2166)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000, C707S793000, C707S793000, C382S108000, C382S254000, C382S275000, C382S100000, C345S424000, C345S419000, C348S045000, C348S065000
Reexamination Certificate
active
07580952
ABSTRACT:
An automatic digital image grouping system and method for automatically generating groupings of related images based on criteria that includes image metadata and spatial information. The system and method takes an unordered and unorganized set of digital images and organizes and groups related images into image subsets. The criteria for defining an image subset varies and can be customized depending on the needs of the user. Metadata (such as EXIF tags) already embedded inside the images is used to extract likely image subsets. This metadata may include the temporal proximity of images, focal length, color overlap, and geographical location. The first component of the automatic image grouping system and method is a subset image stage that analyzes the metadata and generates potential image subsets containing related images. The second component is an overlap detection stage, where potential image subset is analyzed and verified by examining pixels of the related images.
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Logan Ronald K.
Szeliski Richard S.
Uyttendaele Matthew T.
Alam Hosain T
Fischer Craig S.
Lyon & Harr L.L.P.
Microsoft Corporation
Yen Syling
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