Samsung Electronics Co., Ltd.

Yohan J Roh

Junseok Kim

Hyunsurk Eric Ryu

Jooyeon Woo

Hyunku Lee

Keun Woo Park

Jaeho Kim

Srenivas Varadarajan

Sang-dok Mo

Keun Joo Park

Seok-Jin Hong

Youngil Seo

Hansol Lee

Anamika Sharma

Yeolmin Seong

Jeyeon Kim

Jeisung Lee

Gyubeom Edward Im

Kyeongjong Lim

Yongjoon Song

Myoung Ho Kim

An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Image processing device configured to regenerate timestamp and electronic device including the same

An image sensor includes: a pixel array including a plurality of sensing pixels each configured to convert a received light signal into an electrical signal; a readout circuit configured to convert the electrical signals into image data and output the image data; and a bad pixel correction circuit configured to: input, to a neural network, first input data comprising a first cluster bad pixel of the image data in a first direction to generate a first corrected pixel data, and flip second input data comprising a second cluster bad pixel of the image data in a second direction to generate third input data, and input, to the neural network, the third input data to generate a second corrected pixel data.

Image sensor and operating method

The embodiments herein provide a method of obtaining a weighted combination of dynamic vision sensor (DVS) measurements and contact image sensor (CIS) measurements for determining visual inference in an electronic device, the method includes receiving, by the electronic device, a DVS image and a CIS image from the image sensor; determining, by the electronic device, a plurality of parameters associated with the DVS image and feature velocities of a plurality of CIS features present in the CIS image; determining, by the electronic device, a determined DVS feature confidence based on the plurality of parameters associated with the DVS image; determining, by the electronic device, a determined CIS feature confidence based on the feature velocities of the plurality of features present in the CIS image; and calculating, by the electronic device, a weighted visual inference based on the determined DVS feature confidence and the determined CIS feature confidence.

Method of determining visual interference using a weighted combination of CIS and DVS measurement

Provided are an apparatus and method for transmitting only sensor data actually used to process a user request among sensor data received from a sensor when communication restarts between a sensor data management device and a sensor data analysis device. Accordingly, the amount of data transmitted to the sensor data analysis device is reduced. The sensor data analysis device may analyze the sensor data received from the sensor data management device to process the user request.

Method and apparatus for managing sensor data and method and apparatus for analyzing sensor data

An apparatus and method for calculating the selectivity of a range query for multidimensional data using a multidimensional histogram are provided. A data space may be partitioned into one or more sub-spaces based on a sum of skew values of the one or more sub-spaces, a space-partitioning tree may be generated for the data space, and a multidimensional histogram may be generated for the data space based on the space-partitioning tree. A range query for multidimensional data may be processed based on the multidimensional histogram.

Apparatus and method for calculating the selectivity of a range query for multidimensional data

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Yongin-si, South Korea

Yohan J Roh