Abstract: A liquid crystal display includes a signal controller having a luminance controller receiving image data from an external graphic source and controlling the luminance of the image data such that the luminance at the gray expressed by a specific data value of the image data is established to be 80 cd/m2, and a gamma converter outputting image data each having a gamma characteristic adapted to a gamma 2.2 curve. The gamma converter output is determined without using a look up table based on at least one difference curve having a linear portion, a quartic portion, and a critical value where the linear portion and the quartic portion intersect. The liquid crystal display further includes a data driver receiving the image data for selecting and outputting gray voltages corresponding to the image data, and an inverter controlling a lamp to emit light with a luminance of 80 cd/m2 or more.

Abstract: A liquid crystal display includes a signal controller having a luminance controller receiving image data from an external graphic source and controlling the luminance of the image data such that the luminance at the gray expressed by a specific data value of the image data is established to be 80 cd/m2, and a gamma converter outputting image data each having a gamma characteristic adapted to a gamma 2.2 curve. The gamma converter output is determined without using a look up table based on at least one difference curve having a linear portion, a quartic portion, and a critical value where the liner portion and the quartic portion intersect. The liquid crystal display further includes a data driver receiving the image data for selecting and outputting gray voltages corresponding to the image data, and an inverter controlling a lamp to emit light with a luminance of 80 cd/m2 or more.

Abstract: An object activity modeling method which can efficiently model complex objects such as a human body is provided. The object activity modeling method includes the steps of (a) obtaining an optical flow vector from a video sequence; (b) obtaining the probability distribution of the feature vector for a plurality of video frames, using the optical flow vector; (c) modeling states, using the probability distribution of the feature vector; and (d) expressing the activity of the object in the video sequence based on state transition. According to the modeling method, in video indexing and recognition field, complex activities such as human activities can be efficiently modeled and recognized without segmenting objects.

Abstract: An object activity modeling method which can efficiently model complex objects such as a human body is provided. The object activity modeling method includes the steps of (a) obtaining an optical flow vector from a video sequence; (b) obtaining the probability distribution of the feature vector for a plurality of video frames, using the optical flow vector; (c) modeling states, using the probability distribution of the feature vector; and (d) expressing the activity of the object in the video sequence based on state transition. According to the modeling method, in video indexing and recognition field, complex activities such as human activities can be efficiently modeled and recognized without segmenting objects.

Abstract: A display characterization method including receiving color characteristic adjustment variable values of a display, as set by a user; calculating color characterization variable values corresponding to the received color characteristic adjustment variable values, using previously stored color characteristic adjustment variable values and their respective color characterization variable values; and rewriting a display device's profile using the calculated color characterization variable values, is provided. Accordingly, it is possible to achieve color matching by reflecting the color adjustment state of a display without using a color measuring apparatus.

Abstract: A liquid crystal display includes a signal controller including a gamma converter outputting output image data have gamma characteristic adapted to a gamma 2.2 curve based on input image data with a bit number smaller than the output image data, a color correction unit including color coefficients for performing color correction on the image data from the gamma converter, and a dithering and FRC processor reducing a bit number of the image data from the color correction unit by taking upper bits of the image data and controlling position and frequency of the upper bits of the image data; and a data driver selecting and outputting gray voltages corresponding to the image data from the signal controller.

Abstract: A liquid crystal display includes: a signal controller including a gamma converter outputting output image data have gamma characteristic adapted to a gamma 2.

Abstract: An object activity modeling method which can efficiently model complex objects such as a human body is provided. The object activity modeling method includes the steps of (a) obtaining an optical flow vector from a video sequence; (b) obtaining the probability distribution of the feature vector for a plurality of video frames, using the optical flow vector; (c) modeling states, using the probability distribution of the feature vector; and (d) expressing the activity of the object in the video sequence based on state transition. According to the modeling method, in video indexing and recognition field, complex activities such as human activities can be efficiently modeled and recognized without segmenting objects.

Abstract: A liquid crystal display includes a signal controller having a luminance controller receiving image data from an external graphic source and controlling the luminance of the image data such that the luminance at the gray expressed by a specific data value of the image data is established to be 80 cd/m2, and a gamma converter outputting image data each having a gamma characteristic adapted to the gamma 2.2 curve. The liquid crystal display further includes a data driver receiving the image data from the signal controller and selecting and outputting gray voltages corresponding to the image data, and an inverter controlling a lamp such that the lamp emits light with a luminance of 80 cd/m2 or more. With the liquid crystal display, the luminance of a backlight is determined to be a specific value larger than 80 cd/m2, and the luminance of the input image data is controlled such that the luminance of the image data at the specific data value is established to be 80 cd/m2.

Abstract: A display characterization method including receiving color characteristic adjustment variable values of a display, as set by a user; calculating color characterization variable values corresponding to the received color characteristic adjustment variable values, using previously stored color characteristic adjustment variable values and their respective color characterization variable values; and rewriting a display device's profile using the calculated color characterization variable values, is provided. Accordingly, it is possible to achieve color matching by reflecting the color adjustment state of a display without using a color measuring apparatus.

Abstract: An object activity modeling method which can efficiently model complex objects such as a human body is provided. The object activity modeling method includes the steps of (a) obtaining an optical flow vector from a video sequence; (b) obtaining the probability distribution of the feature vector for a plurality of video frames, using the optical flow vector; (c) modeling states, using the probability distribution of the feature vector; and (d) expressing the activity of the object in the video sequence based on state transition. According to the modeling method, in video indexing and recognition field, complex activities such as human activities can be efficiently modeled and recognized without segmenting objects.