Samsung Electronics Co., Ltd.

Suhas Shantaraja Palasamudram

Karthik Srinivasan

Pradeep Kumar Sindhagatta Krishnappa

Pranav Prakash Deshpande

Venkat Ramana Peddigari

Karthikeyan Somanathan

Sujoy Saha

Sriram Nagaswamy

Sourabh Singh Yadav

Pradeep Kumar Sk

Sandeep Palakkal

Akankshya Kar

Accordingly embodiments herein disclose a method for predicting optimal number of thread for an application in an electronic device. The method includes receiving, by an application thread controller, a request to predict a number of threads to be spawned from the application in real-time. Further, the method includes measuring, by the application thread controller, a current state of the electronic device based on the request received from the application. Further, the method includes predicting, by the application thread controller, the optimal number of threads to be spawned for the application based on a scheduler-behaviour model and the current state of the electronic device. Further, the method includes recommending, by the application thread controller, the number of threads to be spawned by the application based on the prediction.

Method and system for predicting optimal number of threads for application running on electronic device

A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination.

Method and apparatus for image segmentation using an event sensor

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Suhas Shantaraja Palasamudram