Aniruddha Sinha

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We propose a fast, yet simple algorithm to find the Region of Interest (ROI) from a compressed MPEG video bitstream, with partial decoding. We have used the properties of the Human Visual System (HVS), applied in the DCT domain, to extract the ROIs. Though a lot of work has been done to obtain ROIs in images based on the HVS, all these systems work in the(More)
The peak noise radiation in the aft direction of high-speed, turbulent jets has been linked to the dynamics of the large-scale structures. We use the parabolized stability equations (PSE) to model these structures as wavepackets associated with instability of the turbulent mean flow. Our past work has demonstrated the utility of these models for subsonic(More)
In this paper, the authors have presented a smartphone based robust heart rate measurement system. The system requires the user to place the tip of his/her index finger on the lens of a smart phone camera, while the flash is on. The captured video signal often contains noise generated due to (i) improper finger placement, (ii) imparting excessive pressure,(More)
We propose a fast video transcoding technique based on region-of-interest (ROI) determination. The ROIs are identified using the properties of the human visual system (HVS), applied in the compressed domain. We use the edge, motion and spatial frequency content of the video frame as the parameters in identifying perceptually important regions in the(More)
This paper presents a simple method to indirectly estimate the range of certain important electrocardiogram (ECG) parameters using photoplethysmography (PPG). The proposed method, termed as PhotoECG, extracts a set of time and frequency domain features from fingertip PPG signal. A feature selection algorithm utilizing the concept of Maximal Information(More)
Rate of vehicular horn is an important parameter to estimate the traffic congestion of a street in an urban area in developing nations. In this paper we propose a participatory sensing based approach for traffic condition monitoring using horn detection employing inbuilt sensors of smart phones. Feature extraction is performed on the audio captured in(More)
Gudmundsson and Colonius (J. Fluid Mech., vol. 689, 2011, pp. 97–128) have recently shown that the average evolution of low-frequency, low-azimuthal modal large-scale structures in the near field of subsonic jets are remarkably well predicted as linear instability waves of the turbulent mean flow using parabolized stability equations. In this work, we(More)
Once the person's identity is established, the most important aspects of ubiquitous healthcare monitoring of elderly and chronic patients are location, activity, physiological and psychological parameters. Since smartphones have become the most pervasive computing platform today, it is only a logical extension to use the same in healthcare domain for(More)