Abstract: An image display apparatus includes a communication interface configured to transmit a control signal for controlling a peripheral device connected to the image display apparatus and receive an image corresponding to the control signal from the peripheral device; a display configured to display the received image; and a controller configured to extract peripheral device information by analyzing the received image and determine remote control code information corresponding to the peripheral device based on the extracted peripheral device information, wherein the communication interface is further configured to transmit the extracted remote control code information to a control device such as a universal remote controller.

Abstract: A display apparatus is provided. The apparatus includes a display configured to display an image corresponding to a first connection interface of a plurality of connection interfaces; and a processor configured to, in response to detecting a change of a power state of an external apparatus connected to the display apparatus through a second connection interface of the plurality of connection interfaces, determine whether content is inputted through the first connection interface, and control the display to display a user interface (UI) indicating that source switch is available or display an image received through the second connection interface, based on a result of the determination.

Abstract: Disclosed herein is a method for providing image contents. The method for providing image contents includes: dividing the image contents into a plurality of scenes, each scene including a plurality of shots; classifying image frames for each scene depending on each of a plurality of characters appearing in the image contents; receiving a user input for selecting any one of the plurality of characters; and displaying a scene corresponding to the character selected depending on the user input.

Abstract: A display device is provided, which includes an external inputter configured to receive an input of a video frame from an external device, a display configured to display the video frame, a memory, and a processor configured to determine a type of the video frame, to extract information on video content that is included in the video frame through analysis of the video frame in accordance with the determined type of the video frame, and to store the extracted information on the video content in the memory as viewing history information.

Abstract: An image providing apparatus is provided. The image providing apparatus includes an output unit comprising output circuitry for outputting image contents; and a processor configured to control the output unit to divide the image content into a plurality of scenes, to determine attributes regarding the plurality of scenes based on feature information on the plurality of scenes, and to classify the plurality of scenes based on the determined attributes to output the classified scenes.

Abstract: A method for providing a summary content of the broadcast receiving apparatus including: receiving a content comprising video and audio data; analyzing at least one of the video and audio data and detecting at least one event section corresponding to a predetermined condition; and generating a summary content based on the at least one detected event section.

Abstract: A broadcast receiving apparatus and a method for controlling the same are provided. The broadcast receiving apparatus includes a tuner configured to receive a broadcast signal of a tuned broadcast channel, an output interface configured to output image data of content signal-processed from the received broadcast signal on a screen, an input interface configured to receive a specific content, and a processor configured to control the tuner to receive the broadcast signal of the broadcast channel in response to the specific content being input through the input interface while a content analyzing mode is activated, and to analyze the content signal-processed from the broadcast signal received through tuner during output of the specific content to the output interface and to output the content to the output interface when the content satisfies a preset condition. Accordingly, the broadcast receiving apparatus provides a notification informing that a broadcast image is started or resumed.

Abstract: Disclosed herein are a multi-touch recognition apparatus and a control method thereof. The multi-touch recognition apparatus executes blur filtering for noise removal when an image is input through a camera unit photographing a screen of a display panel supporting multi-touch, calculates and outputs a difference image obtained by removing the background image stored in the storage unit from the blur-filtered image, calculates a new background image using the difference image and a binary image of the difference image, and updates the background image stored in the storage unit using the calculated new background image, thereby effectively removing a background other than multi-touch and thus improving multi-touch recognition performance.

Abstract: An image processing apparatus is provided. The apparatus includes: a processor configured to process an image according to a preset process in response to receiving the image; and a controller configured to control the processor in order to detect a figure of a human within a video frame based on a feature vector data value according to histograms of oriented gradients (HOG) algorithm of the video frame of the image input to the processor, wherein the controller divides the video frame into a foreground corresponding to a region which includes a moving object and a background corresponding to a region which excludes the foreground, removes the background, converts a target region having a preset area including at least a part of the foreground without the background into a binary image, and derives the feature vector data value from the binary image using a lookup table.

Abstract: Disclosed herein is a method for providing image contents. The method for providing image contents includes: dividing the image contents into a plurality of scenes, each scene including a plurality of shots; classifying image frames for each scene depending on each of a plurality of characters appearing in the image contents; receiving a user input for selecting any one of the plurality of characters; and displaying a scene corresponding to the character selected depending on the user input.

Abstract: An image processing apparatus is provided. The apparatus includes: a processor configured to process an image according to a preset process in response to receiving the image; and a controller configured to control the processor in order to detect a figure of a human within a video frame based on a feature vector data value according to histograms of oriented gradients (HOG) algorithm of the video frame of the image input to the processor, wherein the controller divides the video frame into a foreground corresponding to a region which includes a moving object and a background corresponding to a region which excludes the foreground, removes the background, converts a target region having a preset area including at least a part of the foreground without the background into a binary image, and derives the feature vector data value from the binary image using a lookup table.

Abstract: Surgical trocars, and image acquisition method using the same, include a body having a passage configured to receive at least one surgical instrument, and at least one camera movably coupled to an outer wall of the body.

Abstract: Disclosed is an apparatus for photographing an image using a digital camera capable of providing a preview image, including: an image sensor for capturing an image of a subject; a first image signal processor for processing at least one captured image as a sequent image in order to display the captured image as a preview image on a display window and detecting a face area from the captured image; a buffer for storing the image including at least one detected face area; a capture button for capturing a still image during outputting the sequent image as the preview image on the display window; a second image signal processor for processing the captured still image using the capture button; a controller for controlling to store the captured still image and information related on the face area detected from the first image signal processor prior to the input of the capture button; and a memory for storing the processed still image together with the information related on the detected face area.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: An object recognition system including an image data storage unit to store a captured image, a feature extraction unit to extract an image having a predetermined rotational component among rotational components of the image stored in the image data storage unit and to extract feature vectors based on the extracted image, a database unit to store object information, a recognition unit to determine whether an object corresponding to the captured image is present in the database unit through comparison between the feature vectors extracted by the feature extraction unit and the object information stored in the database unit and to recognize information on the object stored in the database unit based on determination as to whether the object corresponding to the captured image is present in the database unit, and a system administration unit to receive the information on the object recognized by the recognition unit.

Abstract: A robot and a method of controlling the same are disclosed. The robot determines a presence or absence of a non-registration object if a registered object is not present in a photographing area, obtains an object name by communicating with a user if the presence of the non-registration object is decided, and additionally registers the object name in a database. Therefore, the robot recognizes the non-registration object present in the photographing area.

Abstract: Disclosed is an apparatus for photographing an image using a digital camera capable of providing a preview image, including: an image sensor for capturing an image of a subject; a first image signal processor for processing at least one captured image as a sequent image in order to display the captured image as a preview image on a display window and detecting a face area from the captured image; a buffer for storing the image including at least one detected face area; a capture button for capturing a still image during outputting the sequent image as the preview image on the display window; a second image signal processor for processing the captured still image using the capture button; a controller for controlling to store the captured still image and information related on the face area detected from the first image signal processor prior to the input of the capture button; and a memory for storing the processed still image together with the information related on the detected face area.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: An object recognition system including an image data storage unit to store a captured image, a feature extraction unit to extract an image having a predetermined rotational component among rotational components of the image stored in the image data storage unit and to extract feature vectors based on the extracted image, a database unit to store object information, a recognition unit to determine whether an object corresponding to the captured image is present in the database unit through comparison between the feature vectors extracted by the feature extraction unit and the object information stored in the database unit and to recognize information on the object stored in the database unit based on determination as to whether the object corresponding to the captured image is present in the database unit, and a system administration unit to receive the information on the object recognized by the recognition unit.

Abstract: A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.