Sony Corporation

Kunio Kawaguchi

Tetsujiro Kondo

Yasuhiro Fujimori

Takashi Nakamura

Yasuaki Takahashi

Akihiko Kaino

Takafumi Morifuji

Kazumasa Tanaka

Yukihiro Nakamura

Takashi Horishi

Hiroyuki Morisaki

Norifumi Yoshiwara

Yuta Choki

Kenji Tanaka

Yoshihiro Takahashi

Masashi Uchida

Daisuke Kikuchi

Naohide Yamada

Tomonori Kawase

Yoshinori Takagi

Minoru Tobita

Hitoshi Mukai

Takeharu Nishikata

Ichiro Ogata

Fumio Tsuyama

Tomoaki Watanabe

Tomohiro Yasuoka

Koichi Fujishima

Tomoyuki Otsuki

Seiko Maehara

Ryota Makiyama

Naoyuki Hirota

Seiji Kanai

Yohsuke Igarashi

Masako Aizawa

Mariko Noda

Provided is an information processing device including a pressure sensor configured to be capable of detecting a pressure position which is a position of a pressure portion subjected to a pressure manipulation by a user and a pressure force which is a pressure at a time of the pressure manipulation, and to have a cylindrical shape, and a position specifying unit configured to specify a position in a three-dimensional space according to the pressure position and the pressure force.

Information processing device, information processing method, and program

An image processing apparatus includes: a first layer summary data generation section; a second layer summary data generation section; a first search section; and a second search section.

Image processing apparatus, image processing method, and program

An image processing apparatus includes: a database configured to, out of images extracted with a first frequency from the images making up a moving image content, register first layer summary data of a first size; a distance calculation block configured to calculate the distance between the first layer summary data based on the distance between vectors of which the elements are formed by the first layer summary data registered in the database; and a classification section configured to cluster into the same class the first layer summary data between which the distance calculated by the distance calculation block falls within a predetermined distance, the classification section further clustering moving image contents into a plurality of classes based on the classes into which the first layer summary data have been clustered.

A signal processing device and method, a program, and a recording medium configured so as to be able to detect 2-3 pulldown sequences, from various types of input, in a precise manner. A state estimation unit determines whether or not still positions between 10 fields to be handled fit the still positions of a 2-3 pulldown pattern configured of 12 fields including one sequence, using a difference evaluation value, a threshold value, and feature quantity, calculated by an evaluation value feature quantity calculating unit from the field of an 60I signal from an input terminal, and a field positioned temporally two fields earlier in the field memory, determination is made regarding whether or not a pattern regarding which determination has been made to fit has repeated transition in a transition order which the 2-3 pulldown pattern has for a predetermined number of times or more, and processing of an inverse 2-3 pd conversion unit is controlled according to the results of determination.

Signal processing apparatus and method, program, and recording medium

An image processing device and method, a program, and a recording medium whereby the detection precision of a motion vector by the gradient method is further improved. A counter value computing unit acquires the number of valid pixels, the number of pixels having no gradient in the horizontal direction, and the number of pixels having no gradient in the vertical direction from a valid pixel number counter, a no-horizontal-gradient counter, and a no-vertical-gradient counter, computes the ratio between valid pixels within a computation block and one-sided gradient pixels among the valid pixels, and controls the value of a flag which a flag setting unit sets in accordance with the computation results. The flag setting unit sets the value of a gradient flag, and outputs the gradient flag to the subsequent stage. At the subsequent stage, gradient method computation and vector evaluation processing are executed based on the gradient flag. The above can be applied to a signal processing device for performing frame frequency conversion processing from a 24P signal to a 60P signal.

Image processing device method, program, and recording medium for improving detection precision of a motion vector

An information processing device for tracking the image of a tracking point within a moving image wherein contents, of multiple images which are continuous temporally, are discontinuous temporally, includes: a block-matching unit for performing block matching within the moving image, wherein a processed image and an image prior to the processed image are compared to determine the position of the tracking point within the processed image; an interpolation unit for performing interpolation processing wherein the position of the tracking point within an image not subjected to the block matching, which is an image before or after the processed image within the moving image, is determined as the position of the tracking point within the processed image; and a motion-vector calculating unit for obtaining the motion vector of the tracking point based on the position of the tracking point within the processed image determined by the block-matching unit or interpolation unit.

Information processing device and method, and program

An image processing method includes determining whether an image is corrupted, extracting class taps used for classification of a pixel to be generated, performing classification of the pixel to be generated by using the class taps, extracting prediction taps used for prediction of the pixel to be generated, and generating an image by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel among a first prediction coefficient set if the subject pixel is determined as a pixel representing a corrupted image, and by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel to be generated among a second prediction coefficient set if the subject pixel is determined as a pixel representing an uncorrupted image.

Image processing apparatus and method, learning apparatus and method, and program

This invention relates to information operation carried out between information processing apparatuses such as computer, etc. mutually connected through network such as internet, etc. More particularly, this invention relates to an information picture utilization system where there is used 'information picture' in which picture information and related information for causing an operator to carry out a predetermined operation on the basis of the picture information are caused to be one handling unit, and a system for allowing notification to server carried out when processing operation based on related information included in information picture is carried out to have lifetime to thereby realize lowering of communications traffic taking place when information pictures are distributed and duplications are increased with time. In more practical sense, this invention relates to a system in which lifetime information is included in information picture itself, a system in which lifetime control is carried out on the basis of history at client, and a system in which lifetime control is carried out at the server side.

Information image use system using information image

A compensation allocation unit performs allocation compensation of a motion vector to a pixel to which a motion vector is not allocated by a victor allocation unit. A C/UC area determination unit compares magnitudes of a present DFD, a past DFD, and a future DFD based on a background vector and a DFD based on a compensation allocation vector by an evaluation value calculation unit to determine an area of a target pixel. Regarding the target pixel determined as the pixel in a covered area or an uncovered area, an interpolation method decision unit decides a computation method for a pixel value through which one of a double-sided interpolation and a one-sided interpolation. An interpolation frame generation unit computes the target pixel of the pixel value of the interpolation frame through the method decided by the interpolation method decision unit.

Image processing apparatus and method, program, and recording medium

For each pixel in an operation block, an effective pixel determining unit sets a predetermined pixel difference (threshold value) on a time-base pixel difference. When the time-base pixel difference is less than the set predetermined pixel difference, it is determined that the pixel contributes to (or are effective in) motion vector detection, and uses the pixel in the gradient method in the case of performing motion vector detection. When the time-base pixel difference is not less than the set predetermined pixel difference, it is determined that the pixel is regarded as having a possibility to generate irregularity in movement, and the pixel is excluded from the gradient operation in the case of performing motion vector detection. The present invention is applicable to a signal processing apparatus for performing frame frequency conversion from a 24 P signal to a 60 P signal.

Apparatus and method for determining motion vector with effective pixel gradient

A past frame at a past time has a motion vector in a block, and a reference frame at a reference time has a different block which is a motion-compensated block identical in position to a terminal point of a motion vector in the block. When a gradient method is used to detect a motion vector in the different block in the reference frame, a motion vector which is identical in magnitude and orientation to a motion vector and whose initial point is the different block in the reference frame is used as a candidate vector for initial vectors. The present invention is applicable to a signal processing apparatus for performing frame frequency conversion from a 24P signal to a 60P signal.

Apparatus and method for estimating motion vector with gradient method

A picture encoding apparatus and the method in which the quantization step width of the lower hierarchy data having a resolution higher than that of the upper hierarchy data is determined for each predetermined block of respective hierarchy data based on the quantization step width determined by the upper hierarchy data having a low resolution, so that the additional code indicating the characteristics of quantizer can be omitted thereby the compression efficiency can be improved and the deterioration of picture quality can be reduced when picture data is hierarchical-encoded.

Picture encoding apparatus and method

In a picture coding apparatus and a picture coding method, when a picture data is hierarchically coded, compression efficiency can be improved, and the deterioration of picture quality can be reduced. When a picture data is hierarchically coded by utilizing a recursive hierarchical representation, adaptive division of block is performed corresponding to the characteristic of the picture data and then coding is performed, and thus obtained hierarchical coded data is transmitted, so that the block of the lower hierarchy can be adaptively divided, thereby the information quantity such as a plane portion of picture can be reduced.

Picture coding apparatus and method thereof

To compress images using transition information of adjacent pixels, index transition patterns of two adjacent pixels in the horizontal scanning direction of an image are computed and arranged in order of appearance frequency, then patterns within the upper four appearance frequencies are selected to create a reference table. Then, with reference to the created reference table, image data are encoded. When decoding the encoded data, at first data from both the reference table and the color look-up table is inputted and stored in the table and the color look-up table After this, the first data of the subsequent input data is supplied to both the color look-up table and the delay circuit by changing over the connection of the switch Subsequent data is supplied to the table The table decodes the data to original image data with reference to the data and the output from the delay circuit The color look-up table then converts the decoded data to R, G, and B signals and output the signals.

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Kanagawa, Japan

Kunio Kawaguchi