Abstract:
In a method of compiling an updated program having a plurality of updated functions that is updated from an original program having a plurality of original functions, it is determined whether a first original function corresponding to a first updated function exists, it is determined whether the first updated function is changed from the first original function, a first optimization combination for the first updated function is searched when the first original function does not exist or when the first updated function is changed from the first original function, a second optimization combination applied to the first original function is read from a configuration database storing optimization combinations for the original functions when the first original function exists and the first updated function is not changed from the first original function, and the updated program is compiled using the first optimization combination or the second optimization combination.
Abstract:
A method of generating a saliency image, which includes: converting an input image into an input image of the first size and an input image of the second size; applying a saliency extraction scheme to the input image of the first size to generate a first saliency image; converting the first saliency image to the second size; extracting an area that satisfies a first condition from the converted first saliency image; determining an area of the input image of the second size that corresponds to the extracted area; and generating a second saliency image by multiplying an image generated by applying the saliency extraction scheme to the determined area, and the converted first saliency image.
Abstract:
Provided is an apparatus for measuring a distance change, the apparatus including an information acquisition unit, an object determination unit, a feature point determination unit, an optical flow calculator, a matching point determination unit, an object length change calculator that calculates a length change ratio between an object of a first frame image and an object of a second frame image by using a feature point and a matching point, and a distance change calculator that calculates a change from a distance between a camera and the object from when the camera acquires the first frame image and when the camera acquires the second frame image using the calculated length change ratio.
Abstract:
A method and a device for determining similarity between sequences are provided. The method includes obtaining a first sequence of frames and a second sequence of frames, determining a descriptor of a first frame of the first sequence based on luma information of blocks in the first frame, the descriptor of the first frame including luma difference information that is determined based on the luma information of the blocks in the first frame, determining a descriptor of a second frame of the second sequence based on luma information of blocks in the second frame, the descriptor of the second frame including luma difference information that is determined based on the luma information of the blocks in the second frame, and determining a similarity between the first sequence and the second sequence based on the descriptor of the first frame and the descriptor of the second frame.
Abstract:
Provided is an apparatus for measuring a distance change, the apparatus including an information acquisition unit, an object determination unit, a feature point determination unit, an optical flow calculator, a matching point determination unit, an object length change calculator that calculates a length change ratio between an object of a first frame image and an object of a second frame image by using a feature point and a matching point, and a distance change calculator that calculates a change from a distance between a camera and the object from when the camera acquires the first frame image and when the camera acquires the second frame image using the calculated length change ratio.
Abstract:
A method of generating a saliency image, which includes: converting an input image into an input image of the first size and an input image of the second size; applying a saliency extraction scheme to the input image of the first size to generate a first saliency image; converting the first saliency image to the second size; extracting an area that satisfies a first condition from the converted first saliency image; determining an area of the input image of the second size that corresponds to the extracted area; and generating a second saliency image by multiplying an image generated by applying the saliency extraction scheme to the determined area, and the converted first saliency image.