Samsung Electronics Co., Ltd.

Tyco Fire & Security Gmbh

Jayakrishna Alapati

Lokesh Rayasandra Boregowda

Karthik Narayanan

Eun-sun Ahn

Rajkiran Kumar Gottumukkal

Sankaranarayanan Parameswaran

Goun-young Kim

Karthikeyan Somanathan

Vamsee Kalyan Bandlamudi

Tapan Harishkumar Shah

Ankit Dhiman

Srikanth Vemula

Venkata Pavan Muppala

Deepak Chembakassery Rajendran

Goun-Young Kim

A building security system is configured to apply classifications to video files using an artificial intelligence (AI) model. The classifications include one or more objects or events recognized in the video files by the AI model. The system is configured to extract one or more entities from a search query received via a user interface. The entities include one or more objects or events indicated by the search query. The system is configured to search the video files using the classifications applied by the AI model and the one or more entities extracted from the search query and present one or more of the video files identified as results of the search query as playable videos via the user interface.

Building security system with artificial intelligence video analysis and natural language video searching

A method for generating a high-dynamic-range (HDR) image using an imaging device is provided. The method includes capturing a long-exposure (LE) image, a short-exposure (SE) image, and an auto-exposure (AE) image of a scene, estimating motion information in the SE image and the LE image based on a reference image which is determined based on an image statistics parameter, aligning the SE image and the LE image using the motion information, generating a pixel-weight coefficient for each of the SE image, the LE image, and the AE image, generating an overlapped region mask corresponding to an overlapped region in each of the SE image, the LE image and the LE image, determining a modified pixel-weight coefficient in the overlapped region mask and correcting a brightness difference, and generating an HDR image from the SE image, the LE image and the AE image using the modified at least one pixel-weight coefficient.

Method and apparatus for generating HDR images

A method of an electronic device for automatically focusing on a moving object is provided. The method includes generating, by a processor, at least one focal code based on information comprising depth information of the moving object obtained using at least one previous position of the moving object, focusing, by the processor, on at least one portion of the moving object based on the at least one focal code, and capturing, by a sensor, at least one image of the moving object comprising the at least one portion of the moving object.

Method and electronic device for automatically focusing on moving object

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Bengaluru, India

Jayakrishna Alapati