Samsung Electronics Co., Ltd.

Pradeep Kumar Sindhagatta Krishnappa

Karthik Srinivasan

Pranav Prakash Deshpande

Saikat Kumar Das

Alok Shankarlal Shukla

Seunghun Kim

Venkat Ramana Peddigari

Sujoy Saha

Srinivas Reddy Eregala

Rituparna Sarkar

Suhas Shantaraja Palasamudram

Prasanth Kammampati

Sourabh Singh Yadav

Ishu Jain

Divakar Verma

Adithya S Kamath

Muneeswaran Santhanam

Pradhit Ongole

Srikanth Narayana Reddy Gummagatta

Akankshya Kar

Rakshit Shukla

A method () and system () for generating an astro-lapse video on a user device is disclosed. Initially, at least one current frame comprising one or more stars, is captured via the user device. Further, region(s) with a degree of exposure and focus greater or less than a predefined threshold are determined and a set of subsequent frames including the stars are captured. The exposure and focus of region(s) in the subsequent frames is corrected during the capturing based on degree of exposure and focus of the region(s) within the current frame. Further, fusion weights of the current and subsequent frames are determined based on one or more cloud categories and associated cloud density scores. Finally, an astro-lapse video is generated by fusing the at least one current frame and the set of subsequent frames based on the determined fusion weights.

System and method for generating astro-lapse video on user device

A method and an apparatus for capturing a high quality dynamic image by setting a different row-wise exposure value when capturing a scene are provided. The dynamic image capturing method includes: generating an image by pre-capturing a scene via an event sensor; generating event data from the image; determining a row-wise exposure value of the image based on the event data; and determining a row-wise readout priority order of the image based on the row-wise exposure value of the image.

Method and apparatus for dynamic image capturing based on motion information in image

An electronic device and a controlling method thereof are provided. The electronic device includes a memory, a first camera including a first image sensor and at least one processor, and the at least one processor obtains a plurality of image frames by photographing surroundings of the electronic device through the first camera, sets a region of interest (ROI) on the plurality of image frames, obtains a motion identification map corresponding to each of the plurality of image frames and select at least one image frame from among the plurality of image frames based on the obtained motion identification map, identifies whether there is a motion of an object on the ROI set on the selected at least one image frame, and performs a Super Slow Motion (SSM) function through the first camera based on a result of the identification.

Electronic device and method for controlling electronic device

A method and apparatus are provided for performing depth estimation of an object in an image of a scene. The method includes capturing the image of a scene; obtaining, by a sensor, from the image, pixel intensity data and event data; generating an event depth map using the event data, wherein the event data includes event map data of the image and event velocity data of the image; and generating a depth map for the object in the image using the event depth map and the pixel intensity data.

Method and apparatus for performing depth estimation of object

A method and apparatus for capturing images with a high degree of movements in a captured scene are provided. The method includes receiving, by an image sensor, a sequence of images including a plurality of RGB image frames and color event data, generating a plurality of pseudo color filter array (CFA) frames based on the color event data, and generating dynamic images by combining the plurality of RGB image frames and the plurality of pseudo CFA frames.

Method and apparatus for capturing dynamic images

A method and device are provided for scheduling an event. Text is detected in a text application of a computing device. The detected text includes at least one keyword from one or more types of keyword. At least one event associated with a user of the computing device to be scheduled based on the detected text is determined. The at least one event is automatically scheduled based on the detected text.

Event scheduling device and method

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Bengaluru, India

Pradeep Kumar Sindhagatta Krishnappa