Sony Corporation

Sony Semiconductor Solutions Corporation

Sony Group Corporation

Naoki Kuzuya

Takeshi Masuura

Hiroshi Sumihiro

Hiroaki Ono

Mitsuharu Ohki

Hideshi Yamada

Hironaga Sano

Kyoko Ishida

Masaru Matsuura

Kenichiro Oi

Sho Ogura

Takahiro Iinuma

Nana Matsumoto

Provided are an information collection system, an electronic shelf label, an electronic POP advertising, and a character information display device that allow information with higher accuracy to be collected. An information collection device that collects information associated with a customer or a product is included for each product type. Alternatively, an information processing device that supplies information associated with a product and an information display terminal that displays information associated with a product supplied from the information processing device are included.

Information collection system, electronic shelf label, electronic pop advertising, and character information display device

The present technology relates to an information collection system, an electronic shelf label, an electronic POP advertising, and a character information display device that allow information with higher accuracy to be collected. An information collection device that collects information associated with a customer or a product is included for each product type. Alternatively, an information processing device that supplies information associated with a product and an information display terminal that displays information associated with a product supplied from the information processing device are included. The present disclosure can be applied, for example, to an electronic shelf label, an image pickup device, a communication device, an information processing device, electronic equipment, a computer, a storage medium, a system, and the like.

The present technology relates to a control apparatus, a control method, a program, and an electronic device system that enables achievement of low power consumption. The presence or absence of a preset, predetermined subject is detected from an image having a low resolution output by an image sensor in a low power consumption mode, the image sensor including, as operation modes, the low power consumption mode in which the image having the low resolution is output and a normal mode in which an image having a high resolution as compared with the image having the low resolution is output. Then, in a case where the presence of the predetermined subject is detected, the operation mode of the image sensor is set to the normal mode, and the image sensor outputs the image having the high resolution. The present technology may be applied, for example, to control of the image sensor.

Control apparatus, control method, program, and electronic device system that provide low power consumption

The present disclosure relates to an image sensor, an image processing method, and an electronic device capable of executing image processing with fewer resources. The image sensor is provided with a pixel region in which pixels each including a photoelectric conversion unit which converts light to a charge and an in-pixel memory unit which holds the charge generated in the photoelectric conversion unit are arranged in a matrix manner, a driving unit which drives to read out a pixel signal from the pixel, and an image processing unit which performs image processing based on a plurality of images read out by a plurality of times of readout from the pixel region according to driving of the driving unit. The present technology may be applied to, for example, an image sensor including a logic circuit.

Image sensor, image processing method, and electronic device

To accurately determine whether there is a sharp change in a frame. Provided is an image processing device including: a histogram generating unit configured to generate a previous histogram showing a distribution of pixel values in a previous frame that is generated before a predetermined frame and a current histogram showing a distribution of pixel values in the predetermined frame; a normalizing unit configured to perform normalization to match variations of the pixel values of the previous histogram and the current histogram; and a similarity determining unit configured to acquire a degree of similarity of shapes of the previous histogram and the current histogram after the normalization and determine whether the degree of similarity is greater than a predetermined similarity determining threshold value.

Image processing device, imaging device, image processing method, and program

An image processing device includes a plurality of object feature amount calculation units to calculate an object feature amount related to an object on an image, from a current frame of a moving image based on different standards, a feature amount selection unit to select an object feature amount to be used from the plurality of object feature amounts, which is calculated based on the different standards, using object attribute information related to an object on a previous frame of the moving image, an object information calculation unit to calculate object information related to an object on the current frame using the selected feature amount and object information related to the object on the previous frame, and an object attribute information calculation unit to calculate object attribute information related to the object on the current frame based on the calculated object information related to the object on the current frame.

Image processing device, image processing method, and program

An image processing apparatus includes: an object setting section that sets an object image indicating an object which is placed in an image generated by an image capturing section; a detection section that detects the object included in a synthetic image in which the object image and the image generated by the image capturing section are synthesized; and an output section that outputs output information for setting a detection parameter used in a detection process performed by the detection section, that is, output information in which the synthetic image and a detection result of the detection process are associated.

Image processing apparatus including an object setting section, image processing method, and program using the same

An image processing device includes: an acquisition section configured to acquire image data of a captured image; a dividing section configured to divide the acquired image data into divisional regions; a characteristic-amount calculation section configured to calculate a characteristic amount of the image data in each of the divisional regions; a characteristic-amount storage section configured to update the calculated characteristic amount and store the updated characteristic amount sequentially; and a change determination section configured to perform first and second processings, the first processing being provided to calculate a change amount or an agreement amount between the characteristic amounts, the second processing being provided to calculate a difference value between the characteristic amounts, and the change determination section being configured to determine, based on processing contents of the first and second processings, whether or not the update region is a changed region.

Image processing device, image processing method, and program for obstruction detection

This technique relate to an image processing device, an image processing method, an imaging device, an electronic equipment, and a program which can provide a technique to execute a highly accurate global motion search process which is robust to a local moving subject, an illumination intensity change, and the like. The image processing device includes: an image segmentation unit configured to make an image to be processed into plural divided images; a divided image selection unit configured to select a divided image, in which reliability of a motion search process is equal to or greater than a threshold value or reliability is relatively high, from the plural divided images; a first motion search processing unit configured to a motion search process for each divided image; and a second motion search processing unit configured to execute a motion search process for an entire image, in which an image segmentation is not performed, based on information of the motion search process for the selected divided image by the first motion search processing unit.

Image processing device, image processing method, image device, electronic equipment, and program

An image processing apparatus includes: a high-pass filter that extracts a high-frequency component of an input image; an edge judgment unit that judges whether there is an edge based on the high-frequency component and estimates an edge position when there is an edge; a coordinate conversion unit that obtains an edge position in an enlarged image corresponding to the estimated edge position; an interpolation unit that obtains, regarding a position where an edge position of the high-frequency component and the edge position of the enlarged image overlap, a pixel value at each pixel position of an edge circumference of the enlarged image using a pixel value of the high-frequency component; a first enlargement processing unit that generates the enlarged image by enlarging by a desired enlargement factor; and a synthesis unit that synthesizes the interpolated pixel value of the high-frequency component and the pixel value of the enlarged image.

Image processing apparatus, image pickup apparatus, and image processing method that use a super-resolution technique for generating a super-resolution image

An image processing apparatus includes: a global motion estimation apparatus that performs global Motion Estimation on current and reference images and then outputs a Motion Vector, wherein the global motion estimation apparatus includes a motion estimation processing unit that has a function of executing an LK method two or more times across a whole screen to perform the global motion estimation between the current and reference images; and the motion estimation processing unit obtains a set of motion vectors based on at least information about pixel value variations and information in which a calculation result of an arbitrary calculation expression is added across a whole screen in first motion estimation, and determines whether to perform addition on each pixel according to a set condition when obtaining the at least information, and obtains and outputs a new set of motion vectors as a result of a second LK method when the condition is satisfied in second motion estimation.

Image processing apparatus, image processing method, imaging apparatus, and program

A motion-vector searching method is provided. The motion-vector searching method includes the steps of: reading out observed processing blocks and reading out reference processing blocks; concurrently computing partial evaluation values for each of a plurality of position vectors; obtaining a total evaluation value for each particular one of the position vectors; and finding the motion vector as an optimum position vector determined by comparison of the total evaluation values each obtained for one of the position vectors with each other.

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Tokyo, Japan

Naoki Kuzuya