Canon Kabushiki Kaisha

Qiang Liu

David Robert James Monaghan

Dixon De Sheng Deng

David Grant McLeish

Jarrad Michael Springett

A method of storing an image is disclosed. A frequency-domain representation of the image is received, the frequency-domain representation having a plurality of bit-planes. The frequency-domain representation is divided into a first set of bit-planes and a second set of bit-planes, the first set of bit-planes being a higher set of bit-planes than the second set of bit-planes. The first set of bit-planes and the second set of bit-planes is partitioned into a plurality of partitions. At least one partition from the second set of bit-planes is inserted into the plurality of partitions of the first set of bit-planes to produce a plurality of arranged partitions of the image. The arranged partitions of the image are stored.

Compression of high bit-depth images

Disclosed herein are a method and system for classifying a detected region of change of a video frame as one of an abandoned object event and an object removal event, wherein a plurality of boundary blocks define a boundary of said region of change. For each one of a set of said boundary blocks (), the method determines a predicted edge characteristic () and an observed edge characteristic () for said boundary block. The method then determines an individual block score () for said boundary block, based on said predicted edge characteristic () for said boundary block and said observed edge characteristic () for said boundary block. Once all of the set of boundary blocks have been processed, the method determines a global score () for said region of change, based on said individual block scores of said boundary blocks. The method then classifies the region of change () as an abandoned object event or an object removal event, based on how the overall score relates to a threshold.

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Seattle, WA, United States of America

Qiang Liu