Abstract: A substrate supporting plate that may prevent deposition on a rear surface of a substrate and may easily unload the substrate. The substrate supporting plate may include a substrate mounting portion and a peripheral portion surrounding the substrate mounting portion. An edge portion of a top surface of the substrate mounting portion may be anodized. A central portion of the top surface of the substrate mounting portion may not be anodized.

Abstract: A battery module includes at least two cell assemblies, a module housing having an upper cover formed by a top portion and a first side portion extending downward from a first side edge of the top portion, a first gas passage formed between the first side portion of the upper cover and a first side of the at least two cell assemblies for circulation of gas generated from the at least two cell assemblies, and a flame retardant plate in the first gas passage and extending between the at least two cell assemblies and the module housing, wherein the first side portion of the upper cover is coupled to the flame retardant plate.

Abstract: Provided is a method and apparatus for controlling a user interface (UI) of an electronic device by using a specific region of a virtual plane. In the method, the virtual plane is initialized according to spatial coordinates of two or more images detected by using locations of the images displayed in an image display unit of a first image capture device and an image display unit of a second image capture device. Furthermore, the location of a marker is determined and is indicated by a specific image on the virtual plane. Furthermore, a screen pointer corresponding to the marker is displayed at a position where the marker is located in an image display unit corresponding to the virtual plane. Furthermore, a menu of the electronic device is selected which is pointed to by the screen pointer while moving the marker. Accordingly, a user can conveniently control the UI of the electronic device by performing a simple operation.

Abstract: Provided is an image processing method and apparatus for improving image quality and enhancing a three-dimensional effect. By extracting an interest feature index from an input image based on a depth sensation estimation cue existing in the image, calculating an interest feature index integration map based on the interest feature index and importance of interest of the depth sensation estimation cue, and performing discrimination processing of the image based on the interest feature index integration map, three-dimensional effect and true sensation enhancement processing can be performed based on the probability of the existence of a depth sensation estimation cue, without segmentation of an object of interest, correct depth information, or an object model.

Abstract: Provided is an image processing method and apparatus. The image processing method includes receiving an image signal an image, detecting a feature of the image, and analyzing the image signal based on the detected feature of the image, performing segmentation on the image signal according to the analysis result, and performing image processing on the image signal according to the segmentation result.

Abstract: An image analysis method, medium and apparatus for segmentation of a moving image, and a moving image segmentation system. The image analysis method includes receiving an image signal representing an image, detecting features of the image by calculating a difference between the current frame of the image signal and its previous frame, analyzing the image signal based on the detected features of the image, and performing segmentation on the image signal according to the analysis result, thereby separately performing segmentation on all types of moving images. In other words, by using an appropriate segmentation method according to a feature of an image, effective segmentation can be achieved.

Abstract: Provided are an image processing method and apparatus capable of improving the result of segmenting an image and discriminatively determining the extent of processing the image. In the method, the extent of segmentation of the image is calculated; the result of segmentation is compensated for and the extent of processing the image is determined, based on the calculated extent of segmentation; and each region of the image is discriminatively processed according to the determined extent of processing. Accordingly, it is possible to improve the precision of the result of segmentation and continuously control the extent of discriminative processing around a complex image object.

Abstract: A method and apparatus for detecting a meaningful motion. The method of detecting a meaningful motion includes generating a difference image including a plurality of regions each having a sign according to a motion of an input image from a plurality of input images, and by calculating the amount of motion in the difference image based on the sign of each of the regions of the difference image, detecting a meaningful motion of the input image. According to the method and apparatus, a high detection ratio can be maintained, while a false alarm ratio with regard to meaningless motion can be lowered.

Abstract: Provided are an image processing method and apparatus capable of improving the result of segmenting an image and discriminatively determining the extent of processing the image. In the method, the extent of segmentation of the image is calculated; the result of segmentation is compensated for and the extent of processing the image is determined, based on the calculated extent of segmentation; and each region of the image is discriminatively processed according to the determined extent of processing. Accordingly, it is possible to improve the precision of the result of segmentation and continuously control the extent of discriminative processing around a complex image object.

Abstract: Provided is an image processing method and apparatus for improving image quality and enhancing a three-dimensional effect. By extracting an interest feature index from an input image based on a depth sensation estimation cue existing in the image, calculating an interest feature index integration map based on the interest feature index and importance of interest of the depth sensation estimation cue, and performing discrimination processing of the image based on the interest feature index integration map, three-dimensional effect and true sensation enhancement processing can be performed based on the probability of the existence of a depth sensation estimation cue, without segmentation of an object of interest, correct depth information, or an object model.

Abstract: Provided is an image processing method and apparatus. The image processing method includes receiving an image signal an image, detecting a feature of the image, and analyzing the image signal based on the detected feature of the image, performing segmentation on the image signal according to the analysis result, and performing image processing on the image signal according to the segmentation result.

Abstract: Provided is a method and apparatus for controlling a user interface (UI) of an electronic device by using a specific region of a virtual plane. In the method, the virtual plane is initialized according to spatial coordinates of two or more images detected by using locations of the images displayed in an image display unit of a first image capture device and an image display unit of a second image capture device. Furthermore, the location of a marker is determined and is indicated by a specific image on the virtual plane. Furthermore, a screen pointer corresponding to the marker is displayed at a position where the marker is located in an image display unit corresponding to the virtual plane. Furthermore, a menu of the electronic device is selected which is pointed to by the screen pointer while moving the marker. Accordingly, a user can conveniently control the UI of the electronic device by performing a simple operation.

Abstract: An image analysis method, medium and apparatus for segmentation of a moving image, and a moving image segmentation system. The image analysis method includes receiving an image signal representing an image, detecting features of the image by calculating a difference between the current frame of the image signal and its previous frame, analyzing the image signal based on the detected features of the image, and performing segmentation on the image signal according to the analysis result, thereby separately performing segmentation on all types of moving images. In other words, by using an appropriate segmentation method according to a feature of an image, effective segmentation can be achieved.