Samsung Electronics Co., Ltd.

Hee-Jin Chung

Jae-Won Kim

Dong-Gun Kim

Kue-Hwan Sihn

Hyun-Ki Baik

Geon-ho Kim

Gyong-Jin Joung

Bom-jun Kwon

Tai-ho Choi

An apparatus for data processing in a heterogeneous multi-processor environment are provided. The apparatus including an analysis unit configured to analyze 1) operations to be run in connection with data processing and 2) types and a number of processors available for the data processing, a partition unit configured to dynamically partition data into a plurality of data regions having different sizes based on the analyzed operations and operation-specific processor priority information, which is stored in advance of running the operations, and a scheduling unit configured to perform scheduling by allocating operations to be run in the data regions between the available processors.

Apparatus and method for data partition and allocation in heterogeneous multi-processor environment

A text recognition region detecting apparatus and a text recognition method are provided. A text recognition region is detected by expanding a region based on a user-specified position that is input through a simple manipulation by a user. A text recognition is performed on the detected text recognition region, thereby relieving a user from having to precisely input the text region and ensuring the user's convenience.

Apparatus for detecting text recognition region and method of recognizing text

An apparatus and method for extracting feature points from an image in a multiprocessor system having a plurality of processors, the method including: dividing an original image into a plurality of regions so as to be allocated to a plurality of processors of the multiprocessor system; performing, by the plurality of processors, blurring operations by levels; dividing the images blurred by levels into a plurality of regions to be allocated to the processors and calculating, by the plurality of processors, differences of Gaussian (DoGs); and generating feature point data according to the calculated DoGs. Because a plurality of processors performs the operations of the method, the total time to extract the feature points from the image is significantly reduced.

Method and apparatus for extracting feature points from digital image

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Seoul, South Korea

Hee-Jin Chung