Kddi Corporation

Ddi Corp.

Haruhisa Kato

Yasuyuki Nakajima

Akio Yoneyama

Sei Naito

Kei Kawamura

Hiromasa Yanagihara

Masaru Sugano

Yoshitaka Kidani

A decoding-side first generation unit generating, for a target unit, a first component prediction sample. A decoding-side linear prediction unit using the first component sample and a prediction coefficient to generate a linear prediction sample of a second component. A decoding-side second generation unit using the second component linear prediction sample to generate, for the target unit, a second component prediction sample. The decoding-side linear prediction unit uses a first coefficient as the prediction coefficient when the first component sample is equal to or below a threshold value, and uses a second coefficient, different from the first, as the prediction coefficient when the first component sample is greater than the threshold value. The threshold value is set on a parameter representing a distribution or change in a reference sample of the first component and/or the second component contained in a reference unit referenced for the target unit.

Image decoding device, image encoding device, image processing system, image decoding method, and program

Provided are an image encoding device that has high encoding efficiency, and an image decoding device. A mapping means maps pixel signals of an object to be encoded that are configured in prescribed color space to mapped pixel signals in which redundancy between the signals is reduced. The mapping coefficients are calculated from encoded pixel signals, thereby making encoding of mapping coefficients unnecessary. Furthermore, the mapping coefficients are calculated from pixel signals of an adjacent block comprising pixels similar to the pixels of the block to be encoded/decoded, thereby reducing redundancy significantly. The mapping is applied to the pixel signals of the block to be encoded/decoded and to an area of pixels to be referred to by prediction information, thereby enabling prediction to be applied to the mapped pixel signals, and, after executing transformation/quantization, encoding and inverse transformation/dequantization are executed. The mapped pixel signals are restored to the pixel signals.

Image encoding device and image decoding device

To provide an image coding device having high coding efficiency and an image decoding device. A plurality of prediction procedures that uses various types of correlations between pixels are adaptively applied with a coded signal as a reference. With respect to an input pixel, first residual and prediction information are obtained by a first prediction unit that carries out in-screen prediction and the like, second residual and prediction information are obtained by a second prediction unit for predicting a first residual as a serial additional process, and third residual and prediction information are obtained by a third prediction unit for directly predicting a pixel to be coded as a parallel additional process on the input pixel. Which of either the second residual or the third residual to code is determined based on the coding cost, and the signal is switched in the first switching unit.

Image coding device and image decoding device

An operation estimating portion estimates an input operation on the basis of motions of a nail and a finger which are shot, the directions, the number thereof or others. On the basis of estimation results of the input operation, a controller controls display content on a display and an application now in execution. The operation estimating portion includes a skin region extractor for extracting a skin region (first region) containing a nail region (second region) from a shot image, a nail region extractor for extracting the nail region from the thus extracted skin region, and a motion detector for following up a temporal change in the thus extracted nail region to detect motions of the nail region, thereby estimating the input operation on the basis of detection results of the motion detector.

Terminal device

Conversion encoding coefficients which are accumulated in an input memory and read out from the memory is input into converting unit. Conversion matrix integration unit multiplies a basis matrix of conversion encoding coefficient by, arbitrary interpolation matrix or thinning matrix which is input from resolution conversion matrix inputting unit and sampling conversion matrix inputting unit to produce a converting matrix, and outputs the same to the converting unit. Alternatively, the conversion matrix integration unit selects a converting matrix which is previously calculated and stored in the memory, and outputs the same to the converting unit. The converting unit inputs the converting matrix from the conversion matrix integration unit and the conversion encoding coefficients from the input memory, and achieves the resolution conversion and sampling conversion by matrix product computation of the conversion encoding coefficients in row unit.

Apparatus for converting conversion encoding coefficients using sampling/resolution conversion

A feature description method capable of high-speed, efficiently searching audio data or grasping a summary of the audio data by giving considerations to elements and characteristics peculiar to the audio data, is provided. Also, an audio video data feature description collection construction method for collecting feature descriptions from multiple pieces of audio video data based on a specific feature type makes it possible to efficiently, clearly describe a feature description collection.

Audio features description method and audio video features description collection construction method

Provided is a transcoder for coded video the encoding mode of that is changed according to the coded data, itself, that has been compressed by transcoding, or information prepared by decoding only a part thereof. A coded data extractor partially decodes DV coded data (a) that has been input, and sends DCT coefficients (b) to an approximate image generator and to a decoder, and outputs quantization parameters (c) to a first motion vector detector. The approximate image generator generates an approximate image according to a part of the DCT coefficients (b). A first motion vector detector roughly detects motion vector candidates (e). A second motion vector detector, using the motion vector candidates (e) as an initial position, hierarchically detects a motion vector (f). A re-encoder encodes the data into one the encoding mode of that is new, according to a luminance signal (h) that has been decoded in the decoder, the chrominance signal (j) the data format of that has been transcoded in a sampling format transcoder, and the motion vector (f) that has been detected in the second motion vector detector.

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Saitama, Japan

Haruhisa Kato