Abstract: Disclosed are a novel thiazole-containing benzophenone derivative represented by formula 1, and an isomer thereof, a pharmaceutically acceptable salt thereof, a hydrate thereof and a solvate thereof, a pharmaceutical composition comprising the derivative, a use of the derivative as therapeutic agent and a method for preparing the derivative. The benzophenone thiazole derivatives inhibit formation of microtubules and eliminate actively proliferating cells of malignant tumors to control general cell proliferation. In formula 1, R, R1 and R2 are defined as above.

Abstract: Disclosed are an event structure system and a method and medium for controlling the event structure system. The method includes recognizing multiple-person interaction primitives, composing an event by inference based on temporal relations using the multiple-person interaction primitive, and determining a final event by either eliminating an unnecessary event from the composed event, or adding a new event in the composed event.

Abstract: A method and system of restoring an image using a frequency-based image model is provided. A method of restoring an image using a frequency-based image model, the method including: transforming an original image into a frequency domain and generating a transformation image; copying the transformation image in any one domain of domains in which the original image is extended and which are divided into blocks; and inferring a high frequency component of block domains, and restoring the block using the transformation image copied in the any one domain.

Abstract: A video data compression method, medium, and system. The video data compression method, medium, and system includes receiving image data, generating background model data of the image data, determining a moving object region based on the image data and the background model data, estimating a motion value of the moving object region, and compressing the image data by referring to at least one of the background model data and the estimated motion value.

Abstract: An object-oriented photographing control method, medium, and apparatus. The object-oriented photographing control method includes detecting an interesting object registered in advance from an input image, estimating photographic information on the detected interesting object, and generating control information for capturing the input image by using the estimated photographing information, and capturing the input image according to the control information. Accordingly, states of a position and illuminance of the object are perceived in real-time, a high-quality image can be captured, and the user does not need to control the focus and the exposure of the input image.

Abstract: An object pose normalization method and apparatus and an object recognition method are provided. The object pose normalization method includes: determining a pose of a non-frontal image of an object; performing smoothing transformation on the non-frontal image of the object, thereby generating a smoothed object image; and synthesizing a frontal image of the object by using the pose determination result and the smoothed object image. According to the method and apparatus, a front object image can be synthesized by using a non-frontal object image without causing an image distortion problem due to self-occlusion and non-rigid deformation.

Abstract: Provided are a method and apparatus for extracting facial features from an image containing a face. The method and apparatus filter an input image using a filter set for face recognition at each of predetermined locations in the input image, merge values obtained by filtering the input image at locations, which are horizontally symmetrical to each other with respect to the center of the face, and synthesize values obtained by filtering the input image at locations which are not symmetrical to each other with respect to the center of the face with the merged values. Therefore, the time, feature values, and storage space required to extract or compare facial features can be significantly reduced. In addition, a face recognition system that runs well on low specification hardware can be implemented.

Abstract: Object feature points are tracked in a video image, and detected feature points are affine-transformed. Then, it is determined whether the video image is a real object using characteristics of the affine-transformed feature points. Therefore, liveness detection resistant to spoofing can be performed without requiring user intervention and additional hardware.

Abstract: A video image tracking apparatus and a video image tracking method are provided. The method makes it possible to detect and track a target image having a variety of angles without a multi-view detector, easily adapt to addition of a new target image and removal of an existing target image, reduce calculation time and memory consumption for detecting and tracking the target image having a variety of angles, so that embedded software or chip can be realized, and tracking the target image at high speed.

Abstract: Provided are an apparatus and method for determining views of faces contained in an image, and face detection apparatus and method employing the same. The face detection apparatus includes a non-face determiner determining whether a current image corresponds to a face, a view estimator estimating at least one view class for the current image if it is determined that the current image corresponds to a face, and an independent view verifier determining a final view class of the face by independently verifying the estimated at least one view class.

Abstract: A face descriptor generating method and apparatus and face recognition method and apparatus using extended local binary pattern (LBP) are provided. Since LBP features are selected by performing a supervised learning process on the extended LBP features and the selected extended LBP features are used in face recognition, it is possible to reduce errors in face recognition or identity verification and to increase face recognition efficiency. In addition, the extended LBP features are used so that it is possible to overcome the problem of time-consumption of the process.

Abstract: A method and apparatus for calculating a similarity of a face image, a method and apparatus for retrieving a face image by using the calculation method and apparatus, and a method of synthesizing a face image are provided. According to the methods and apparatuses, by separately calculating a holistic similarity of a face image based on a holistic feature of the face image, and a local similarity of a face image based on local features of the face image, and adding the calculated similarity results according to weights, thereby calculating the similarity between compared face images, the similarity calculation result of the face considering both the holistic feature and local features of the face image can be obtained, thereby improving reliability of the face image similarity calculation and lowering complexity of the calculation.

Abstract: A method of and system for generating a list using flexible adjustment of an advertising domain, in which the domain size of a display field is determined depending on the number of advertising information to be arranged in each display field so as to create a search result list through flexible adjustment of an advertising domain unlike a conventional method of limiting the number of advertising information to be arranged in each display field so that an item of advertising information is arranged within a predetermined number allocated to each display field. According to the present invention, it is possible to flexibly determine the domain size of a display field within a search result list in view of the number of advertising information to be arranged in the display field.

Abstract: A scalable face recognition method and apparatus using complementary features. The scalable face recognition apparatus includes a multi-analysis unit which analyzes a plurality of features of an input face image using a plurality of feature analysis techniques separately, compares the features of the input face image with a plurality of features of a reference image; and provides similarities as the results of the comparison, a fusion unit which fuses the similarities, and a determination unit which classifies the input face image according to a result of the fusion performed by the fusion unit.

Abstract: A face recognition method and apparatus. The face recognition apparatus includes a Gabor filter unit which obtains a plurality of response values by applying a plurality of Gabor filters having different properties to a plurality of fiducial points extracted from an input face image, a linear discriminant analysis (LDA) unit which obtains first LDA results by performing LDA on each of a plurality of response value groups into which the response values of the plurality of response values are classified, a similarity calculation unit which calculates similarities between the first LDA results and second LDA results obtained by performing LDA on a face image other than the input face image, and a determination unit which classifies the input face image according to the similarities.

Abstract: A score fusion method and apparatus. The score fusion method includes receiving a plurality of scores respectively obtained by a plurality of classifiers, and fusing the received scores using a likelihood ratio. The score fusion apparatus includes a fusion unit which receives a plurality of scores respectively obtained by a plurality of classifiers and fuses the received scores using a likelihood ratio, and a parameter providing unit which provides the fusion unit with a plurality of parameters needed for fusing the received scores.

Abstract: Methods, mediums and systems recognizing a face by extracting features from a facial image. According to the method recognizing the face, multiple subimages of a query facial image and one or more target facial images are generated, Fourier transforms on the multiple subimages are performed, and Fourier features from the multiple subimages are extracted using the Fourier-transformed multiple subimages. A similarity between the Fourier features of the query facial image and the one or more target facial images is measured, and similarities with respect to a plurality of target facial images are calculated. An image having a maximum similarity to the query facial image from the one or more target facial images is selected.

Abstract: A pixel classification device to separate, and a pixel classification method of separating, a moving object area from a video image, the device including a first classification unit to determine whether a current pixel of the video image belongs to a confident background region, and a second classification unit to determine which one of a plurality of sub-divided background areas or the moving object area the current pixel belongs to in response to a determination tht the current pixel does not belong to the confident background region.