Abstract: A display apparatus according to a concept of the disclosure includes: a display panel configured to display an image in a front direction; a top chassis positioned in a front direction of the display panel; a bottom chassis positioned in a rear direction of the display panel; a rear cover covering a rear side of the bottom chassis; and a stand member being accommodatable in the rear cover and selectively coupled with a rear surface of the rear cover, wherein the rear cover includes an accommodating portion in which the stand member is accommodated and a coupling portion coupled with the stand member, and the stand member includes an inserting protrusion which is inserted into the accommodating portion and the coupling portion.

Abstract: The present invention relates to a device and method for automatically tracking a broadcast satellite using a global navigation satellite system (GNSS). The device for automatically tracking a broadcast satellite using a GNSS according to an embodiment of the present invention includes a moving object positioning unit configured to determine current position coordinates of a moving object using a GNSS; a broadcast satellite tracker configured to track a position of a broadcast satellite relative to a current location of the moving object using fixed position coordinates of a broadcast satellite for a channel input to a satellite broadcast receiver of the moving object and the current position coordinates of the moving object; and an antenna driving unit configured to adjust a direction of a satellite broadcast antenna provided in the moving object according to the tracked position of the broadcast satellite.

Abstract: A method for real time fire detecting and transmitting fire information is disclosed. The method includes monitoring whether the fire related value of an area which fire and fire prevention state need to be monitored is in the fire occurrence set value in the fire occurrence through at least one of CO2 sensor, temperature sensor, and image camera. When the fire related value is in the fire occurrence set value, an image camera rotates and shoots an image of the heaviest fire site and monitors the fire related value continuously. When the fire related value during fire is over the set range, the image camera rotates to the heaviest fire site from the present state and shoots an image of the heaviest fire site and, at the same time, monitors the fire related value by measuring CO2 information, temperature information, and smoke information.

Abstract: A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information.

Abstract: A method for constructing a database having image information representing a plurality of images including the steps of: a) calculating L×5 number of normalized edge histogram bins to generate L number of edge histograms of a target image, wherein each edge histogram has five normalized edge histogram bins and represents a spatial distribution of five reference edges in a sub-image and L is a positive integer, wherein the reference edges include four directional edges and a non-directional edge; b) non-linearly quantizing the L×5 number of normalized edge histogram bins to generate L×5 number of quantization index values for the target image; c) storing the L×5 number of quantization index values to the database; and d) repeating the steps a) to c) until all of the stored images are processed to thereby construct the database having the image information.

Abstract: A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information.

Abstract: A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information.

Abstract: A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information.

Abstract: A method for constructing a database having image information representing a plurality of images including the steps of: a) calculating L×5 number of normalized edge histogram bins to generate L number of edge histograms of a target image, wherein each edge histogram has five normalized edge histogram bins and represents a spatial distribution of five reference edges in a sub-image and L is a positive integer, wherein the reference edges include four directional edges and a non-directional edge; b) non-linearly quantizing the L×5 number of normalized edge histogram bins to generate L×5 number of quantization index values for the target image; c) storing the L×5 number of quantization index values to the database; and d) repeating the steps a) to c) until all of the stored images are processed to thereby construct the database having the image information.