Abstract: Provided are: a structure adhesive composition which exhibits favorable thread breakage and improves shower resistance, and prevents stringiness when stitch-coating is performed; a method for producing a vehicle structure using the same; and a vehicle structure. A structure adhesive composition exhibiting favorable thread breakage, the structure adhesive composition being a structure adhesive composition containing no liquid rubber component, the structure adhesive composition contains: (A) an epoxy resin in which rubber particles are dispersed as primary particles; and (B) an epoxy resin latent curing agent; a compounded proportion of the rubber particles in the structure adhesive composition is from 10 to 45 mass %; and a viscosity at 50° C. of the structure adhesive composition is from 190 to 380 (Pa·s) when a shearing speed is 5 (sec?1) and is from 1 to 30 (Pa·s) when the shearing speed is 200 (sec?1).

Abstract: An encoding device includes: an encoding processing section that performs encoding processing on image data serving as a processing target; and a control unit that controls the encoding processing to make a bit rate in a rate control area higher than a bit rate in an area other than the rate control area, the rate control area being located near a division boundary when the image data serving as the processing target is divided into a plurality of regions.

Abstract: Provided are: a structure adhesive composition which exhibits favorable thread breakage and improves shower resistance, and prevents stringiness when stitch-coating is performed; a method for producing a vehicle structure using the same; and a vehicle structure. A structure adhesive composition exhibiting favorable thread breakage, the structure adhesive composition being a structure adhesive composition containing no liquid rubber component, the structure adhesive composition contains: (A) an epoxy resin in which rubber particles are dispersed as primary particles; and (B) an epoxy resin latent curing agent; a compounded proportion of the rubber particles in the structure adhesive composition is from 10 to 45 mass %; and a viscosity at 50° C. of the structure adhesive composition is from 190 to 380 (Pa·s) when a shearing speed is 5 (sec?1) and is from 1 to 30 (Pa·s) when the shearing speed is 200 (sec?1).

Abstract: Provided are: a structure adhesive composition which changes color when heat-cured; a method for producing a vehicle structure using the same; and a vehicle structure. The structure adhesive composition which changes color when heat-cured is a structure adhesive composition including: (A) an epoxy resin; (B) an epoxy resin latent curing agent; and (C) a monoazo pigment, wherein a compounded proportion of the monoazo pigment in the structure adhesive composition constitutes 0.01-10 mass %. It is preferable for the structure adhesive composition to also contain (D) a curing accelerator.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: An image processing apparatus includes a class tap selection unit that selects pixel values related to pixels corresponding to a plurality of color components as a class tap, from a first image formed by image signals which are output from a single-plate type pixel portion, a class sorting unit that sorts out target pixels of second images as any one of a plurality of classes on the basis of a feature amount of the class tap, a prediction tap selection unit that selects pixel values related to pixels corresponding to a first color component of the plurality of color components as a prediction tap from the first image, and a product-sum operation unit that uses the pixel values of the first color component of the prediction tap as variables, and operates pixel values of the second images through a product-sum operation using the read coefficient.

Abstract: There is provided an image processing apparatus including: a prediction tap selection unit which selects a pixel which is a prediction tap used for prediction operation for acquiring a pixel value of a target pixel which is a target from a second image obtained by converting a first image, from the first image; a classification unit which classifies the target pixel to any class from a plurality of classes; a tap coefficient output unit which outputs a tap coefficient of a class of the target pixel from tap coefficients, acquired by learning to minimize an error between a result of the prediction operation using a student image corresponding to the first image and a teacher image corresponding to the second image; and an operation unit which acquires a pixel value of the target pixel by performing the prediction operation using the tap coefficient and the prediction tap.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: An image processing apparatus processes encoded data obtained by encoding image data for each of line blocks obtained by dividing an image. The image processing apparatus includes: a body-partition generating unit configured to generate body partitions of a file with a predetermined format for each piece of encoded data for one of the line blocks, the body partitions containing the encoded data; and a partition merging unit configured to merge the body partitions generated by the body-partition generating unit, a header partition containing header information, and a footer partition containing footer information to thereby generate the file.

Abstract: An image processing apparatus includes a class tap selection unit that selects pixel values related to pixels corresponding to a plurality of color components as a class tap, from a first image formed by image signals which are output from a single-plate type pixel portion, a class sorting unit that sorts out target pixels of second images as any one of a plurality of classes on the basis of a feature amount of the class tap, a prediction tap selection unit that selects pixel values related to pixels corresponding to a first color component of the plurality of color components as a prediction tap from the first image, and a product-sum operation unit that uses the pixel values of the first color component of the prediction tap as variables, and operates pixel values of the second images through a product-sum operation using the read coefficient.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: There is provided an image processing apparatus including: a prediction tap selection unit which selects a pixel which is a prediction tap used for prediction operation for acquiring a pixel value of a target pixel which is a target from a second image obtained by converting a first image, from the first image; a classification unit which classifies the target pixel to any class from a plurality of classes; a tap coefficient output unit which outputs a tap coefficient of a class of the target pixel from tap coefficients, acquired by learning to minimize an error between a result of the prediction operation using a student image corresponding to the first image and a teacher image corresponding to the second image; and an operation unit which acquires a pixel value of the target pixel by performing the prediction operation using the tap coefficient and the prediction tap.

Abstract: An image processing apparatus includes a color variation amount/normalized dynamic range operation unit that operates color variation amounts indicating variation amounts of a first color component and a second color component for a third color component of the plurality of color components in pixels of the designated region of a first image output from a single-plate type pixel portion, and a coefficient reading unit that reads a coefficient stored in advance on the basis of a result of class sorting of the designated region, in which an operation method of pixel values of the second image formed by pixels of only the first color component and an operation method of pixel values of the second image formed by pixels of only the second color component are changed on the basis of the color variation amounts and the normalized dynamic ranges.

Abstract: Analysis filter processing is recursively repeated on horizontal and vertical low frequency component coefficients obtained as a result of the analysis filter processing, until a predetermined decomposition level is reached. Coefficients obtained during a process of computation in the analysis filter processing and, except for a preset decomposition level, horizontal and vertical low frequency component coefficients obtained as a result of the computation in the analysis filter processing are stored in a first storage section independently for each decomposition level. The coefficients stored in the first storage section are read as appropriate and the read coefficients are supplied for the analysis filter processing. The horizontal and vertical low frequency component coefficients of the preset decomposition level are stored in a second storage section. The coefficients stored in the second storage section are read as appropriate. The read coefficients are supplied for the analysis filter processing.

Abstract: Apparatus and method for image coding may group code units corresponding to an image based on a same at least one parameter of each of the code units. Each group of code units which is grouped includes code units of which values of the same at least one parameter are the same. In addition, the code units of each group of code units which is grouped are entropy coded in parallel.

Abstract: A filter unit performs an analysis filtering operation by segmenting a frequency component to generate a plurality of subbands composed of coefficient data segmented on a per frequency band basis. A coefficient storage unit stores the coefficient data on a subband by subband basis, with each subband corresponding to a respective area of the coefficient storage unit. The filter unit writes the coefficient data onto the coefficient storage unit via a write buffer in response to a determination that the analysis filtering operation has not reached a final segmentation level. An entropy encoding unit entropy encodes the coefficient data. The filter unit writes the coefficient data on an area of the coefficient storage unit corresponding to the subband to which the coefficient data belongs. The entropy encoding unit reads the coefficient data, stored on different areas on a subband by subband basis, from the coefficient storage unit.

Abstract: The present invention relates to an information processing apparatus and method which make it possible to transmit image data with high quality and low delay. A wavelet transform unit 101 applies wavelet transform to image data using a reversible filter that performs data transform with a reversible method that completely ensures forward direction and backward direction transform. An entropy coding unit 103 encodes coefficient data using a predetermined entropy coding scheme, with a reversible method that completely ensures forward direction and backward direction transform. The present invention is applicable to, for example, an encoding apparatus or a decoding apparatus.

Abstract: An encoding apparatus includes: a first processing unit performing predetermined first processing of image data to be encoded before performing encoding; an encoding unit performing the encoding of the image data of which the first processing has been performed by the first processing unit to generate a code stream; a second processing unit performing predetermined second processing of the code stream generated through the encoding of the image data performed by the encoding unit; and a control unit controlling a processing speed of the encoding performed by the encoding unit in accordance with a processing speed of the first processing by the first processing unit and a processing speed of the second processing by the second processing unit.

Abstract: The present invention relates to an information processing apparatus and method which make it possible to transmit image data with high quality and low delay in more versatile situations. A control unit 111 obtains negotiation information including a transmission-allowed bit rate of a transmission line 103, which is defined in a standard, information regarding a receiving apparatus, or a measured value of the transmission-allowed bit rate, controls whether or not to encode image data and transmit the encoded image data, and performs settings in encoding, such as a resolution, a bit rate, and a delay time. Also, an encoding unit 113 controls a decomposition number of a chrominance component in accordance with the format of image data to be encoded. The present invention is applicable to, for example, a communication apparatus.