Disney Enterprises, Inc.

Ariel-University Research and Development Company Ltd.

Arik Shamir

Leonid Sigal

Guy Rosenthal

Boaz Ben-Moshe

Liad Serruya

There is provided a system configured to receive a plurality of images, analyze a set of features of the plurality of images to determine a difference between a first training performance of a plurality of independent detectors based on one or more of individual attributes and a second training performance of a plurality of joint detectors based on one or more of composite attributes, select, based on the analyzing, either one of the plurality of independent detectors or one of the plurality of joint detectors for identifying a plurality of objects in the plurality of images, and identify the plurality of objects in the plurality of images, using the selected one of the plurality of independent detectors utilizing the one or more of the individual attributes or using the selected one of the plurality of joint detectors utilizing the one or more of the composite attributes.

Systems and methods for identifying objects in media contents

There is provided a system including a memory and a processor to receive images. The processor is further to train independent detectors for identifying first objects in the images based on individual attributes including a first attribute and a second attribute. The processor is also to train joint detectors for identifying first objects in the images based on composite attributes including a composite attributes each including the first attribute and the second attribute. The processor is to analyze features of the images to determine a difference between a first training performance of the independent detectors and a second training performance of the joint detectors. Lastly, the processor is to select, based on the analyzing, between using the independent detectors and using the joint detectors for identifying second objects in the images using a third attribute and a fourth attribute in the attribute database.

A method for compressing an elevation map by means of digital image processing, according to which local and global parameters of an elevation map are calculated for sorting the elevation map into a corresponding category and the elevation map is categorized according to the calculated local and global parameters. Optimal parameters for compressing the elevation map are determined according to the calculated local and global parameters and according to the corresponding category and then the elevation map is compressed by applying on it digital image processing by using the determined optimal compression parameters.

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Jerusalem, Israel

Arik Shamir