Kabushiki Kaisha Toshiba

Goh Itoh

Haruhiko Okumura

Masahiro Baba

Nao Mishima

Hisao Fujiwara

Yujiro Hara

Hitoshi Kobayashi

Kazuyasu Ohwaki

Ryosuke Nonaka

Miki Mori

Rei Hasegawa

Kazuki Taira

Yasutoyo Takeyama

Masayuki Saito

Masahiko Akiyama

Masashi Nishiyama

Yumi Fukuda

Masahiro Sekine

Masahiko Yamamoto

Takeshi Chujoh

Yoshihiro Kikuchi

Toshiaki Watanabe

Koji Asakawa

Takashi Ida

Noboru Yamaguchi

Takeshi Nagai

Yoshitaka Egawa

Toshiro Hiraoka

Yoshinori Iida

Ryusuke Hirai

Hiroto Honda

Akira Kinno

Kaoru Sugita

Yukio Kizaki

Hidetaka Ohira

Yoko Sambonsugi

Yusuke Tazoe

Rieko Furukawa

Katsuya Tsuchida

Takeshi Yamaguchi

Hajime Yamaguchi

Tatsuo Saishu

Tsuyoshi Hioki

Atsushi Sugahara

Masayuki Nakamoto

Kenzo Isogawa

Norihiko Kamiura

Hisashi Kobiki

Tomonobu Motai

Yoshie Imai

Richard Lang

Rieko Iida

Kazuyasu Oowaki

According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Server, analysis method and computer program product for analyzing recognition information and combination information

According to an embodiment, an information processing apparatus includes a first image acquisition unit, a first information acquisition unit, a reception unit, a generation unit, and a writing unit. The first image acquisition unit is configured to acquire a first image obtained by imaging by an imaging unit. The first information acquisition unit is configured to acquire any of multiple pieces of information capable of being associated with the first image. The reception unit is configured to receive a first input. The generation unit is configured to associate the first image acquired in the first image acquisition unit with the information piece acquired in the first information acquisition unit to generate an association data piece when the reception unit receives the first input. The writing unit is configured to write the association data piece into a storage unit.

Information processing apparatus, information processing method and computer program product

According to an embodiment, an information processing apparatus includes an acquisition unit, a detection unit, an extraction unit, and a reading unit. The acquisition unit is configured to acquire an input image including a marker having a position detection pattern. The detection unit is configured to detect the position detection pattern using identification data used for detecting the position detection pattern included in the input image, the identification data being from a plurality of position detection patterns having different forms from each other. The extraction unit is configured to extract, from the input image, the marker corresponding to the detected position detection pattern. The reading unit is configured to read data associated with the extracted marker.

Information processing apparatus, information processing method, and computer program product

An image processing apparatus includes an operating unit configured to calculate a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit configured to convert local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit configured to perform, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved surface model expressed with the pixel value of the target pixel in the input image.

Techniques to suppress noises in an image to precisely extract shapes and edges

An image display apparatus includes: a backlight configured to emit light; a liquid crystal panel configured to modulate light emitted from the backlight to make an image display; a backlight luminance calculating unit configured to calculate a light-emission luminance of the backlight such that a center value of a luminance range displayable on the liquid crystal panel defined depending on the light-emission luminance of the backlight substantially agrees with a center value of luminances of pixels forming an input image; a backlight controlling unit configured to control light emission of the backlight so that the light from the backlight is emitted with the calculated light-emission luminance; a luminance correcting unit configured to correct the luminance of each pixel in the input image in accordance with the calculated light-emission luminance; and a liquid crystal controlling unit configured to control modulation of the liquid crystal panel based upon the corrected input image.

Image display apparatus and image display method

A motion vector detection method includes extracting a first block including a plurality of pixels from a first frame of the image, detecting a second block from a plurality of blocks of a second frame of the image by block matching, the second block including the maximum number of pixels each indicating an absolute difference value not more than a first threshold with respect to each of the pixels of the first block, and computing a first motion vector between the first block and the second block.

Method of searching for motion vector, method of generating frame interpolation image and display system

A smoothing filter generates a smoothed picture by smoothing a brightness component of an input picture. An adjustment filter generates an adjusted picture by applying a filter to an area of the input picture. The filter has the same characteristic as the smoothing filter. The area has a brightness matched with a predetermined condition of noise detection. A contrast component calculation unit calculates a contrast component of the input picture by dividing each pixel value of the adjusted picture with a corresponding pixel value of the smoothed picture. An output picture generation unit generates an output picture by multiplying the smoothed picture with the contrast component.

Picture processing apparatus and method

An image display device includes: an image input unit configured to input an image; a content categorizer configured to determine a content category of the image; a database configured to store adjustment items corresponding to each of a plurality of content categories, the adjustment items being related to sensibility words each representing an impression for images; an adjustment item display configured to display the adjustment items corresponding to the content category, the adjustment item being selectable by a user; a receiver configured to receive set values of the adjustment items selected from the user; an image quality parameter calculator configured to calculate image quality parameters in accordance with the set values of the adjustment items; an image processor configured to perform image processing on the image in accordance with the image quality parameters; and an image display configured to display the processed image.

Image display device and image display method

An image processing apparatus includes a gradient calculator that calculates a direction and a magnitude of a gradient of each pixel in an input image using neighboring pixel values; a histogram calculator that calculates a Histogram of Oriented Gradients containing plural sampled directions from the directions and the magnitudes of the gradients calculated for the pixels in a region including the pixel being processed; a storing unit that stores plural smoothing filters and associated Histograms of Oriented Gradients; a search unit that calculates errors between Histogram of Oriented Gradients calculated for the pixel being processed and the Histograms of Oriented Gradients stored in the storing unit and searches the Histogram of Oriented Gradients that has the minimum error; and a filter processing unit that acquires one of the smoothing filters stored in association with the Histogram of Oriented Gradients having the minimum error and determines a corrected pixel value of the pixel being processed by filter processing with the acquired smoothing filter.

Image processing apparatus and image processing method

An apparatus for creating an interpolation frame includes a first computing unit that computes a first motion vector in relation to a first block in a first reference frame, a second extracting unit that extracts a second block in a second reference frame based on the first motion vector, a first calculating unit that calculates a correlation between the first block and the second block, a third extracting unit that extracts a third block that is shifted from the second block by a certain number of pixels, a second calculating unit that calculates a correlation between the first block and the third block, and a third computing unit that computes a motion vector for an interpolation block based on a most-highly correlated block-pair.

Apparatus, method, and computer program product for detecting motion vector and for creating interpolation frame

An image display apparatus includes: a luminance modification unit configured to modify the luminance setting value so as to make a luminance difference between adjacent partial regions of a back light smaller; a luminance distribution calculation unit configured to calculate a predicted value of luminance distribution of light incident on a liquid crystal panel from the back light on the basis of the modified luminance setting value; a liquid crystal transmittance correction unit configured to correct an optical transmittance of the image signal at each pixel of the liquid crystal panel on the basis of the image signal and the luminance distribution; a back light control unit configured to control the back light on the basis of the modified luminance setting value; and a liquid crystal control unit configured to control the liquid crystal panel so that the transmittance of the image signal becomes the corrected optical transmittance.

A first filter generates a first smooth picture by smoothing an input picture. A second filter generates a second smooth picture by smoothing the input picture. The second filter has a characteristic different from the first filter. A contrast component picture calculation unit generates a contrast component picture by dividing each pixel value of the input picture with the pixel value of the first smooth picture. A picture composition unit generates a composed picture by composing the second smooth picture with the contrast component picture.

Apparatus and method for generating a picture having a high visibility

A motion vector detection method includes extracting a first block from the m-th picture, extracting second blocks having a large correlation with respect to the first block from a (m+n)-th picture ((m+n)&#x3e;m-th), detecting first motion vectors between the first and second blocks, extracting a third block located in spatially the same position as that of the first block from a (m+i)-th picture ((m+n)&#x3e;(m+i)&#x3e;m-th), computing second motion vectors of (n&#x2212;1)/n times the first motion vectors, extracting a fourth block corresponding to a movement position of the third block from the (m+n)-th picture according to the second motion vector, and selecting an optimum motion vector maximizing a correlation between the third and fourth blocks from the first motion vectors.

Motion vector detection method and apparatus

An image display apparatus includes an image displaying unit that includes a light source unit and a light modulation device, a histogram generating unit, a light source luminance calculator, a function storing unit, a first evaluation value calculator, a second evaluation value calculator, a third evaluation value calculator, a function acquiring unit and a control unit. The function acquiring unit acquires a plurality of the third evaluation values by repeating processing by the first to third evaluation value calculators with modification to a level conversion function and acquires a level conversion function that has a smallest third evaluation. The control unit supplies a signal of a converted video resulting from conversion of the image with the acquired level conversion function to the light modulation device.

An interpolated image generating apparatus calculates a motion vector reliability level indicating reliability of a motion vector used for inserting an interpolated image, the value of the motion vector reliability level being determined in such a manner that the stronger the correlation is between a source image area and a destination image area that are brought into correspondence with each other by the motion vector, the larger is the value. The apparatus also calculates a failure-preventing vector reliability level indicating reliability of a predetermined failure-preventing vector used for preventing image failures. The apparatus obtains a motion compensated image based on the motion vector, obtains a failure-preventing image based on the failure-preventing vector, and blends the motion compensated image and the failure-preventing image according to a weighted average thereof calculated by using a weighting factor based on the motion vector reliability level and the failure-preventing vector reliability level.

Apparatus, method, and computer program product for generating interpolated images

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Tokyo, Japan

Goh Itoh