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Dragan Sekulovski

Researcher at Philips

Publications -  68
Citations -  628

Dragan Sekulovski is an academic researcher from Philips. The author has contributed to research in topics: Controller (computing) & Hue. The author has an hindex of 11, co-authored 66 publications receiving 583 citations.

Papers
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Journal ArticleDOI

Synchronization of Multiple Camera Videos Using Audio-Visual Features

TL;DR: This paper proposes a novel automated synchronization approach based on detecting and matching audio and video features extracted from the recorded content that is robust against various ambient noises and audio-visual artifacts occurring during the recordings.
Patent

Method and a system for controlling a lighting system

TL;DR: A location commissioning method for a lighting system, having several lighting arrangements, includes selecting an illuminated position, assigning the position a position id, measuring light at the position, deriving light data associated with each lighting arrangement from the measured light, associating the light data with the position id and determining light transfer data from the light and current drive data for the lighting arrangements.
Patent

Light module, illumination system and method incorporating data in light emitted

TL;DR: In this paper, the authors proposed a light module (110) comprising at least two primary light sources (111,112,113) capable of emitting a primary color light, which allows the light module to emit light having intensity (Y) and color coordinates (x,y) through additive color mixing of the constituent primary colors.
Journal ArticleDOI

Modeling the visibility of the stroboscopic effect occurring in temporally modulated light systems

TL;DR: In this paper, a measure for predicting the visibility of the stroboscopic effect occurring in temporally modulated light systems was developed, consisting of a summation of the energy in all frequency components, normalized for human sensitivity.
Proceedings ArticleDOI

Synchronization of multiple video recordings based on still camera flashes

TL;DR: This paper presents a synchronization method based on detecting flashes present in the video content, which indicates overlapping content, and allows determining the offset time between cameras.