Abstract: An electroluminescent device includes a first electrode and a second electrode facing each other; an emission layer disposed between the first electrode and the second electrode and including a plurality of quantum dots and a first hole transporting material having a substituted or unsubstituted C4 to C20 alkyl group attached to a backbone structure; a hole transport layer disposed between the emission layer and the first electrode and including a second hole transporting material; and an electron transport layer disposed between the emission layer and the second electrode.

Abstract: A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.

Abstract: A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.

Abstract: A deep learning system establishes a simple process of generating a deep learning model, and provides an intuitive, natural and easy interaction in performing feedback on image input, manual labelling and automated labelling required for the above-described operations. Therefore, a user without expertise in deep learning can have an opportunity to directly generate and use a user-customized image identification deep learning model for identifying a desired object to be identified.

Abstract: A system, medium, and method compensating brightness of an image, by compensating the brightness of a main object included in the image. The system includes a brightness distribution calculation unit dividing the obtained image into a plurality of divided regions and calculating the brightness distribution of each divided region, and a compensation unit determining a main region including a main object in the obtained image according to the calculated brightness distribution and compensating the obtained image according to the determination result.

Abstract: Provided are an apparatus and method for acquiring an image based on expertise, whereby laymen can also acquire a high-definition image like experts. The apparatus includes a storage unit storing representative images representing a plurality of image acquisition environments and storing parameters corresponding to the representative images, an image classification unit classifying an input image and selecting a representative image from the storing unit based on a result of the classification, a parameter extraction unit extracting parameters corresponding to the selected representative image from the storage unit, and a control unit controlling the apparatus according to the extracted parameters.

Abstract: Provided is an image capturing apparatus and method, in which the limit of the application of blurring to an input image is determined with the use of a database of recognizable blur levels, and the input image is processed by applying filtering properties corresponding to variations in digital gain and an exposure time. The image capturing apparatus includes a light reception module which receives an optical signal; and an image processing module which adjusts an exposure time-to-digital gain ratio with reference to the amount of light included in the optical signal.

Abstract: Provided is an apparatus and method for enhancing an image by optimizing exposure and grayscale. The apparatus includes a component-extracting unit separating luminance signals and color signals from input image signals; a luminance-enhancing unit enhancing the luminance of the luminance signals; and a contrast-enhancing unit dividing the luminance signal having the enhanced luminance into one or more local areas, and enhancing the contrast of the luminance signal having the enhanced luminance for each local area.

Abstract: An apparatus and method of capturing images having an optimized quality during night time conditions is provided. The apparatus for capturing images includes an image-capturing unit that captures an light from an object and generates a first digital image, a night-scene-sensing unit sensing whether the first digital image is a night-scene image, an exposure-adjustment unit adjusting an optimized exposure time by comparing an edge level of the night-scene image with that of a pre-generated reference image if it is sensed that the input image is the night-scene image, and a controller controlling the image-capturing unit to generate a second digital image based on the adjusted exposure time.

Abstract: A method and apparatus for enhancing the quality of images using complementary color contrast are provided. The method includes (a) extracting color information of each of a plurality of pixels of an input image, (b) determining whether the input image includes both a first pixel belonging to a first group and a second pixel belonging to a second group with reference to the extracted color information, (c) converting a first hue of the first pixel into an optimum point of the first group, and (d) converting a second hue of the second pixel into an optimum point of the second group, wherein the first hue corresponding to the optimum point of the first group and the second hue corresponding to the optimum point of the second group are complementary to each other.

Abstract: Provided is an image capturing apparatus and method, in which the limit of the application of blurring to an input image is determined with the use of a database of recognizable blur levels, and the input image is processed by applying filtering properties corresponding to variations in digital gain and an exposure time. The image capturing apparatus includes a light reception module which receives an optical signal; and an image processing module which adjusts an exposure time-to-digital gain ratio with reference to the amount of light included in the optical signal.

Abstract: Provided are an apparatus and method for acquiring an image based on expertise, whereby laymen can also acquire a high-definition image like experts. The apparatus includes a storage unit storing representative images representing a plurality of image acquisition environments and storing parameters corresponding to the representative images, an image classification unit classifying an input image and selecting a representative image from the storing unit based on a result of the classification, a parameter extraction unit extracting parameters corresponding to the selected representative image from the storage unit, and a control unit controlling the apparatus according to the extracted parameters.

Abstract: An apparatus and method of capturing images having an optimized quality during night time conditions is provided. The apparatus for capturing images includes an image-capturing unit that captures an light from an object and generates a first digital image, a night-scene-sensing unit sensing whether the first digital image is a night-scene image, an exposure-adjustment unit adjusting an optimized exposure time by comparing an edge level of the night-scene image with that of a pre-generated reference image if it is sensed that the input image is the night-scene image, and a controller controlling the image-capturing unit to generate a second digital image based on the adjusted exposure time.

Abstract: Provided is an apparatus and method for enhancing an image by optimizing exposure and grayscale. The apparatus includes a component-extracting unit separating luminance signals and color signals from input image signals; a luminance-enhancing unit enhancing the luminance of the luminance signals; and a contrast-enhancing unit dividing the luminance signal having the enhanced luminance into one or more local areas, and enhancing the contrast of the luminance signal having the enhanced luminance for each local area.

Abstract: A system, medium, and method compensating brightness of an image, by compensating the brightness of a main object included in the image. The system includes a brightness distribution calculation unit dividing the obtained image into a plurality of divided regions and calculating the brightness distribution of each divided region, and a compensation unit determining a main region including a main object in the obtained image according to the calculated brightness distribution and compensating the obtained image according to the determination result.

Abstract: A method and apparatus for enhancing the quality of images using complementary color contrast are provided. The method includes (a) extracting color information of each of a plurality of pixels of an input image, (b) determining whether the input image includes both a first pixel belonging to a first group and a second pixel belonging to a second group with reference to the extracted color information, (c) converting a first hue of the first pixel into an optimum point of the first group, and (d) converting a second hue of the second pixel into an optimum point of the second group, wherein the first hue corresponding to the optimum point of the first group and the second hue corresponding to the optimum point of the second group are complementary to each other.