Samsung Electronics Co., Ltd.

Seoul National University

Snu Rdb Foundation

Ha-wook Jeong

Tae-Hwa Hong

Jin-young Choi

Seong-Taek Hwang

Woo-Sung Kang

Sang-doo Yun

Byeong-ho Heo

Kwang-Yong Lee

Hong-Il Kim

Sun-jung Kim

Beom-su Kim

Hyung-Jin Chang

Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Method and apparatus for processing image

A user terminal device includes a communicator configure to communicate with an external device; a touchscreen configured to display an image and to receive a touch input; and a controller configured to control the touchscreen to display an image received from the external device through the communicator, to control the touchscreen to display a first indicator associated with an object included in the displayed image, in response to the touch input being detected on the image displayed on the touchscreen, the first indicator being displayed at a point where the touch input is detected, and to control the communicator to transmit data related to the first indicator to the external device, the data comprising information to be used by the external device in determining a position of a second indicator to be included in an image displayed in the external device.

Transmission of data related to an indicator between a user terminal device and a head mounted display and method for controlling the transmission of data

Provided is an electronic device including a display configured to display a first image; and one or more processors electrically connected with the display, wherein the one or more processors are configured to: select a region surrounding a first object comprising a first sub-region surrounding a first part of the first object and a second sub-region surrounding a second part of the first object from the first image, apply a first correction scheme to the first sub-region surrounding the first part of the first object, apply a second correction scheme to the second sub-region surrounding the second part of the first object, and generate a second image comprising the corrected first sub-region surrounding the first part of the first object and the corrected second sub-region surrounding the second part of the first object.

Electronic device and method for applying correction scheme(s) to an image

Disclosed is an image processing apparatus including: a storage configured to store model information regarding a boundary of a person area in an image; and a controller configured to determine a boundary of a target area in an area to be processed, and to control the target area to undergo image processing for the person area if it is determined, based on the model information stored in the storage, that the determined boundary of the target area matches the boundary of the person area.

Image processing apparatus for determining whether section of target area matches section of person area and control method thereof

A method of processing an image by using an image processing apparatus is provided. The method includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

An active attentional sampling technology for accelerating background subtraction from input videos, more specifically, an active attentional sampling technology for accelerating background subtraction by removing background region from the input video and then applying foreground probability map and sampling mask according to temporal property, spatial property and frequency property of the input video in favor of the pixel-wise background subtraction algorithm is provided. The background subtraction is accomplished by generating active attentional sampling mask for input video and then processing each frame of the input video only for regions corresponding to the sampling mask, which renders the background subtraction be much accelerated. That is, the present invention successfully speeds up pixel-wise background subtraction methods approximately 6.6 times without deteriorating detection performance. Therefore, according to the present invention, real-time detection with full-HD video is successfully achieved through various conventional background subtraction algorithms.

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Seoul, South Korea

Ha-wook Jeong