Abstract: There is provided an image processing apparatus including a distortion component calculation unit calculating a distortion component in a time series, based on an image signal indicating a moving image composed of a frame image, for each of a first region corresponding to the whole frame image, a second region corresponding to one region obtained by dividing the frame image, and a third region corresponding to the other region obtained by dividing the frame image, and a decision unit deciding a scanning pattern of an imaging device having captured the moving image, which the image signal indicates, based on a combination of a correlation of distortion between the second region and the first region and a correlation of distortion between the second region and the third region.

Abstract: An image processing device includes: a motion vector receiving unit configured to receive, from frame image data made up of frame images, motion vectors representing motion of the frame images; a modeling unit configured to model the motion vector, received from the motion vector receiving unit, to a component separation expression in which a camera motion component and a focal plane distortion component are separated, using component parameters respectively representing camera motion which is motion of a camera, and the amount in change in focal plane distortion; and a component calculation unit configured to calculate the component parameters used in the component separation expression, thereby calculating the focal plane distortion component in the motion vector.

Abstract: There is provided an addition ratio learning apparatus including a noise adding unit that adds noises to data of an image input as a teacher image, a motion compensating unit that sets an image where time addition noise reduction processing is executed as an NR screen and performs motion compensation with respect to the NR screen, a differential feature amount calculating unit that sets an image as an input screen and calculates a differential feature amount, a circulation history specifying unit that counts a circulation history in the time addition noise reduction processing and specifies the circulation history, an addition ratio computing unit that computes an addition ratio on the basis of pixel values, and a time adding unit that performs multiplication by a coefficient determined according to the computed addition ratio to perform weighted addition and executes the time addition noise reduction processing with respect to the input screen.

Abstract: Provided is an image stabilization device including an image capturing unit for capturing an image of a face of a user, a motion detection unit for detecting motion of the face whose image has been captured by the image capturing unit, a motion prediction unit for predicting motion of the face to be detected at a next time point, based on the motion of the face detected in time-series by the motion detection unit, an image data display unit for displaying image data, and a motion correction unit for performing control on the image data display unit to move the image data in a direction of cancelling the motion of the face predicted by the motion prediction unit.

Abstract: Provided is an image stabilization device including a motion sensor for detecting motion data, an image data display unit for displaying image data, a shake coefficient calculation unit for calculating a shake coefficient indicating intensity of shaking based on time-series motion data detected by the motion sensor, and a motion correction unit for performing control on the image data display unit to move the image data in a direction of cancelling the shaking in a case the shake coefficient calculated by the shake coefficient calculation unit becomes less than a predetermined first threshold.

Abstract: Techniques for image stabilization may include detecting motion of an apparatus configured to display image data, the image data comprising one or more frames, a first frame of the one or more frames comprising a plurality of layers. The plurality of layers may be processed to correct for the detected motion. The processing may comprise applying a different degree of motion correction to a first layer of the plurality of layers than to a second layer of the plurality of layers. Such techniques may be performed via an apparatus comprising a display control unit configured to cause the image data to be displayed, and a motion correction unit configured to perform the processing.

Abstract: An image processing apparatus includes: a matching processing unit calculating positions of center coordinates of all video data forming one frame image of multi-viewpoint video data with respect to coordinates of the origin of the one frame image using at least two pieces of video data forming the one frame image, and generating focus information as the calculation result; a motion vector detection unit detecting a motion vector, which indicates an overall motion of the one frame image, using one piece of video data of at least two pieces of video data forming the one frame image; a motion component separation processing unit separating motion components of the one frame image using the generated focus information and the detected motion vector; and a correction unit correcting all of the video data forming the one frame image using the motion components separated by the motion component separation processing unit.

Abstract: The present invention provides a screw capable of efficiently transmitting rotational force of a driver bit to the screw while obtaining excellent interlocking effect of the driver bit with a cross-shaped groove of the screw.

Abstract: An image processing device includes: a motion vector receiving unit configured to receive, from frame image data made up of frame images, motion vectors representing motion of the frame images; a modeling unit configured to model the motion vector, received from the motion vector receiving unit, to a component separation expression in which a camera motion component and a focal plane distortion component are separated, using component parameters respectively representing camera motion which is motion of a camera, and the amount in change in focal plane distortion; and a component calculation unit configured to calculate the component parameters used in the component separation expression, thereby calculating the focal plane distortion component in the motion vector.

Abstract: An image processing device, comprising: a motion vector detection unit configured to detect, from frame image data made up of frame images, motion vectors representing motion of the frame images; a modeling unit configured to model the motion vector, detected by the motion vector detection unit, to a component separation expression in which a camera motion component and a focal plane distortion component are separated, using unknown component parameters respectively representing camera motion which is motion of a camera, and the amount in change in focal plane distortion; and a component calculation unit configured to calculate the component parameters used in the component separation expression, thereby calculating the camera motion component in the motion vector.

Abstract: An object of the invention is to detect the temperature of food and offer a good finish of cooking even in case a steam generator is arranged in a heating chamber. The controller avoids using the temperature data of an area overlapping the steam generator out of the temperature data from the infrared sensor in the detection judgment of food temperature in order to prevent detection errors in case steam heating is selected.

Abstract: A drain mechanism includes: a cap that is attached detachably to a case of a fluid filter and formed with a drain hole, and includes an engaging projecting portion to which an engaging portion of a drain pipe inserted into the drain hole is engaged; and a valve member that is provided in the interior of the cap so as to close the drain hole and displaced in a direction for releasing closure of the drain hole upon contact with a tip end portion of the pipe inserted into the drain hole. The valve member is provided with a holding recess portion for holding the tip end portion of the pipe. A contact portion contacted by the tip end portion of the pipe is provided inside the holding recess portion of the valve member.

Abstract: The object of the invention is to provide a water supply controlling method of a high-frequency heating apparatus and the high-frequency heating apparatus wherein water supplied to a heating chamber as steam is controlled in the quantity and the quality and power can be saved. To achieve the object, it is judged whether there is the required quantity of water supplied as steam in cooking in a water tank or not and in case it is judged that the water is short, request for replacing water in the water tank is annunciated. Elapsed time since water in the water tank was last replaced is monitored and in case the elapsed time exceeds predetermined time, request for replacing the water is annunciated.

Abstract: The object of the invention is to provide a water supply controlling method of a high-frequency heating apparatus and the high-frequency heating apparatus wherein water supplied to a heating chamber as steam is controlled in the quantity and the quality and power can be saved. To achieve the object, it is judged whether there is the required quantity of water supplied as steam in cooking in a water tank or not and in case it is judged that the water is short, request for replacing water in the water tank is annunciated. Elapsed time since water in the water tank was last replaced is monitored and in case the elapsed time exceeds predetermined time, request for replacing the water is annunciated.

Abstract: An image encoder divides an input image frame into a plurality of blocks, detects a motion vector of each block, arranges the blocks into one or more groups based on the motion vector, and calculates the first weighting coefficient based on the number of blocks included in each group. The image encoder arranges the plurality of blocks into one or more groups of blocks based on DC components of brightness and color information of each block, and calculates the second weighting coefficient based on the distance between the center of each block and the center of the input image frame. The image encoder determines a quantization step width based on one or two of the first and second weighting coefficients, using the detected motion vector. Further, the image encoder quantizes each of the plurality of blocks by the determined quantization step width so as to encode the input image frame.

Abstract: Disclosed is a member of nylon 12 having a relative viscosity of from 1.9 to 3.5 when measured in 98% sulfuric acid at a concentration of 10 g/dm3 and at 25° C. and a melt flow rate of 0.1 g/10 min. or more when measured at 235° C. under a load of 2,160 g, wherein said relative viscosity and said melt flow rate have a relationship of the following formula (I): 2.87×103 exp (−3.48 &eegr;r)≦MFR≦3.25×104 exp (−3.48 &eegr;r)  (I) wherein &eegr;r is relative viscosity and MFR is melt flow rate. The nylon 12 has excellent extrusion moldability and creep characteristics, fatigue characteristics and the like mechanical properties and is suited for tubular molds. A nylon 12 composition comprising the nylon 12 having the above-described specific relationship between &eegr;r and MFR and a plasticizer is also disclosed.

Abstract: Disclosed is a member of nylon 12 having a relative viscosity of from 1.9 to 3.5 when measured in 98% sulfuric acid at a concentration of 10 g/dm3 and at 25° C. and a melt flow rate of 0.1 g/10 min. or more when measured at 235° C. under a load of 2,160 g, wherein said relative viscosity and said melt flow rate have a relationship of the following formula (I): 2.87×103 exp(−3.48 &eegr;r)≦MFR≦3.25×104 exp(−3.48 &eegr;r)  (I) wherein &eegr;r is relative viscosity and MFR is melt flow rate. The nylon 12 has excellent extrusion moldability and creep characteristics, fatigue characteristics and the like mechanical properties and is suited for tubular molds. A nylon 12 composition comprising the nylon 12 having the above-described specific relationship between &eegr;r and MFR and a plasticizer is also disclosed.

Abstract: Disclosed is a member of nylon 12 having a relative viscosity of from 1.9 to 3.5 when measured in 98% sulfuric acid at a concentration of 10 g/dm3 and at 25° C. and a melt flow rate of 0.1 g/10 min. or more when measured at 235° C.

Abstract: An image encoder divides an input image frame into a plurality of blocks, detects a motion vector of each block, arranges the blocks into one or more groups based on the motion vector, and calculates the first weighting coefficient based on the number of blocks included in each group. The image encoder arranges the plurality of blocks into one or more groups of blocks based on DC components of brightness and color information of each block, and calculates the second weighting coefficient based on the distance between the center of each block and the center of the input image frame. The image encoder determines a quantization step width based on one or two of the first and second weighting coefficients, using the detected motion vector. Further, the image encoder quantizes each of the plurality of blocks by the determined quantization step width so as to encode the input image frame.