Sony Corporation

Sony Deutschland Gmbh

Sony Group Corporation

Sony International (europe) Gmbh

Sony Semiconductor Solutions Corporation

Oliver Erdler

Piergiorgio Sartor

Yalcin Incesu

Alexander Gatto

Ralf Müller

Volker Freiburg

Mori Hironori

Peter Wagner

Martin Richter

Joerg Schwendowius

Klaus Zimmermann

Muhammad Siddiqui

Toru Nishi

Frank Moesle

Paul Springer

Altfried Dilly

Peter Dürr

Diederik Paul Moeys

Kirk Scheper

Chao Huang

Carsten Dolar

Sergio Mayoral

Piergiorgio Sator

Klaus Zimmerman

Embodiments of the present disclosure provide an apparatus for a dynamic vision sensor and a method for adjusting a dynamic vision sensor. The apparatus comprises an actuator configured to change an optical path of light impinging on a pixel array of the DVS relative to the pixel array to cause the pixel array to detect one or more events resulting from the actuator changing the optical path of the light relative to the pixel array. Also, the apparatus comprises a control circuit configured to adjust the DVS based on the one or more events.

Apparatus for a dynamic vision sensor and method for adjusting a dynamic vision sensor

The present disclosure generally pertains to autofocus imaging circuitry, configured to: obtain, for a first adjusted focus, a first plurality of brightness change events from a brightness change event detection element; obtain, for a second adjusted focus, a second plurality of brightness change events from the brightness change event detection element; and determine a focus based on the first and the second plurality of brightness change events for autofocusing a scene.

Autofocus imaging circuitry, autofocus imaging apparatus, and autofocus imaging method for an event camera

A system including circuitry configured to process image data of a meal to obtain information on the contents of the meal; generate, based on the obtained information, a query with guidance to change image capture settings: and guide a user to pick up at least a part of the meal.

System, method and computer program for guided image capturing of a meal

A system including circuitry configured to determine a reflectance feature of a liquid based on reflectance image data generated based on multispectral image data of the liquid; determine a structural feature of the liquid based on image data of the liquid; and to provide quality information of the liquid based on the reflectance feature and the structural feature.

System, method and computer program

A system including circuitry configured to process multispectral image data of a meal to obtain information on the contents of the meal; and generate, based on the obtained information, a query with guidance to change image capture settings.

A video coding apparatus for encoding a compressive sensing signal has a processor. The processor

Video encoding and decoding apparatus, system and method

A method including: providing an image; encrypting an encryption region of the image, the encryption region is less than the whole region of the image; keeping a remaining region of the image unencrypted to provide a partially encrypted image; and storing the partially encrypted image.

Security feature for digital imaging

The present disclosure relates to a method for improving an estimation process, comprising providing an image; detecting a failure area within said image to obtain a failure area map; obtaining a motion or disparity estimation map containing estimation vectors determined in an estimation process; providing a local direction model, LDM, map comprising LDM vectors determined on the basis of said estimated vectors and said detected failure area, and adjusting said estimation process dependent on the local direction model map.

Local detection model (LDM) for recursive motion estimation

The present invention relates to a method for providing reliable motion vectors, comprising the steps of determining motion vectors between two image frames with backward and forward estimation, comparing backward estimation motion vectors and forward estimation motion vectors, and detecting unreliable motion vectors based on the comparison result. The present invention further relates to a system for providing reliable motion vectors.

Method and system for providing reliable motion vectors

The present invention relates to an image processing method and to a device to process a moving image, which is shot by a predetermined video shooting device, in increments of access units. The imaging blur is represented by a corresponding low-pass filter showing the properties of imaging blur which occurs at the time that said moving image is shot with said video shooting device. According to the present method an inverse filter having inverse properties as to said low-pass filter is generated. A processing is performed to apply said inverse filter to said access unit to be processed. Hereby, the step of generating an inverse filter includes an iterative algorithm in the frequency domain based on the original blurred image and the point spread function.

Image processing method, device and program to process a moving image

The present invention is directed to an apparatus for motion segmentation in the field of motion detection, whereby an initial motion map is processed to a more accurate final motion map which identifies the non- and the movement of pixels between at least two successive images, said apparatus comprising a processing-segmentation device and a combination-logic device. In this apparatus the initial motion map is processed to three different feature maps, describing static edges, moving edges and moving flat areas between at least two successive images, respectively. The present invention is further directed to a corresponding method adapted for motion segmentation in the field of motion detection.

Object boundary accurate motion detection using hierarchical block splitting and motion segmentation

The present invention relates to an apparatus for reducing motion blur in a video signal, comprising an analysing means for determining edge characteristics of an input video signal and for providing motion estimation of an edge within said input video signal, generation means for generating a synthetic detail signal dependent on said edge characteristics and said motion estimation, and an adding means for adding the detail signal to the edge within the input video signal and outputting an output video signal. The present invention further relates to a method for reducing motion blur in a video signal.

Apparatus and method for reducing motion blur in a video signal

A method for interpolating a previous and subsequent image of an input image sequence, including: determining fidelity information for at least one motion vector that is descriptive for motion between a previous and subsequent image, wherein the fidelity information is descriptive for the level and accuracy of the motion, determining classification information for the at least one motion vector, wherein the classification information depends on the fidelity information, the classification information being descriptive for the motion type of the motion, and selecting an interpolation method in dependence of the determined classification information.

Method for interpolating a previous and subsequent image of an input image sequence

A method and apparatus for motion estimation of at least a first and a second image frame by estimating at least one motion vector correlating a portion of pixels of the at least first and second image frame, the first and second image frame being part of an image frame sequence. The at least one motion vector is obtained by a predominant motion detection generating at least one global motion vector based on at least one previously determined motion vector, the previously determined motion vector correlating a portion of pixels of earlier image frames of the image frame sequence, and an estimation estimating the at least one motion vector based on the at least one global motion vector.

Method and apparatus to improve the convergence speed of a recursive motion estimator

The present invention relates to a method for interpolating a subpixel at an interpolation position, which is situated in the chronological order between two source frames. Thereby the calculation of the interpolated subpixel's value is based on the value of the pixels of the two source frames and additional weighting coefficients, which are based on the motion vectors correlating the two source frames.

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Ostfildern, Germany

Oliver Erdler