MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Electronics & Communication Engineering

Detection of fire in video for fire alarm systems has been studied by many researchers, but detection of shot boundaries under fire, flicker and explosion (FFE) is one of the under-studied areas. In thriller movies, FFE occur more often than other special effects and lead to false detection of shot boundary. We tested major metrics used for detection of shot boundaries under FFE for various movies. It is observed that for almost all metrics, precision is low due to false positives caused by FFE. We propose an algorithm based on cross-correlation coefficient, stationary wavelet transform and combination of local and adaptive thresholds for detection of shot boundaries under FFE. The proposed algorithm is tested on three movies, and experimental results validate the effectiveness of our proposed method in terms of better recall and precision. © 2010 Springer-Verlag London Limited.

Engineering and Technology

World University root node

Signal, Image and Video Processing

Shot boundary detection in the presence of fire flicker and explosion using stationary wavelet transform

Adaptive Filters are generally implemented in the time domain which works well in most scenarios however in many applications the impulse response becomes too long, increasing the complexity of the filter beyond a level where it can no longer be implemented efficiently in the time domain. An example of where this can happen would be in acoustic echo cancellation applications in hands free telephony. However there exists an alternative solution and that is to implement the filters in the frequency domain. The Discrete Fourier Transform or more specifically the Fast Fourier Transform (FFT) allows the conversion of signals from the time domain to the frequency domain in an efficient manner. Acoustic echo cancellation of the frequency domain adaptive filter is compared with time domain adaptive filter. Again results are compared for both frequency domain and time domain adaptive filters with different step sizes. © 2010 IEEE.

Proceedings - 3rd International Conference on Emerging Trends in Engineering and Technology, ICETET 2010

Frequency domain adaptive filter using FFT algorithm for acoustic echo cancellation

This paper presents an algorithm for content-based bit rate allocation for video coding in order to improve rate-distortion (R-D) performance. A fuzzy tool is developed to analyze different areas of a frame. This tool attributes a level of interest to each macroblock. It is effective for a very large range of natural pictures. Beginning with the segmentation of the original picture, a non-hierarchical fuzzy model allows combining the results of distinct criteria in order to increase the reliability of the system and provide convergence to a meaningful final result. R-D optimal rate allocation is done taking help of the fuzzy model and human visual system. The model developed is incorporated in TM5 rate control algorithm and the results are compared with the same. Copyright © 2010 by the IETE.

IETE Journal of Research

Fuzzy Based Optimum Bit Allocation for Rate Control in Video Compression

Advances in Computational Sciences and Technology

Low Power Inverter and Barrel Shifter Design Using Adiabatic Principle

Wipe transition detection in video segmentation is more difficult to detect than abrupt and other gradual transitions, because of diversity in patterns, and difficulty in distinguishing wipe from camera and object motion. In this study, the authors propose an algorithm for wipe transition detection. In the proposed algorithm, first the moving strip due to wipe is obtained, which eliminate most of the edges due to object boundaries and retain true wipe boundaries, and then Hough transform is applied on these moving lines to detect and categorise various wipe types. In order to decrease the computational load of the proposed algorithm, the authors propose a preprocessing step as a first stage of the algorithm. The preprocessing step consists of calculation of statistical image difference between the consecutive frames to obtain the potential wipe frames, which are input to their proposed algorithm. The proposed algorithm detects and identifies various types of wipes and also distinguishes wipes from object and camera motion. The performance comparison of the proposed algorithm, with and without preprocessing, with other existing techniques clearly exhibit its effectiveness in terms of better recall, precision, F1 measure and detection rate. © 2010 The Institution of Engineering and Technology.

IET Image Processing

Effective algorithm for detecting various wipe patterns and discriminating wipe from object and camera motion

Sharply increasing need for portable electronic devices has reinforced the need of low power design methodologies in the recent years. Adiabatic logic style is proved to be an attractive solution for low power digital design. The energy is recycled back to power supply instead of being wasted. Many researchers have introduced different adiabatic logic styles in the past few years. This paper discusses the implementation of three quasi-adiabatic logic styles and analyzes the charge flow. All the inverter circuits are designed using 180nm technology in Cadence design environment.

Proc. Int. MultiConf. of Engineers and Computer Scientists, Hong-Kong

Implementation and analysis of quasi-adiabatic inverters

PQDT-Global

Video Shot Boundary Detection

SCADA System for Plant Automation

The transparent WDM optical networks in absence of electrical regenerators reduce the overall network cost. The Quality of Service (QoS) in such networks can be guaranteed if and only if the Bit Error Rate (BER) and the crosstalk induced power penalty is significantly reduced. In this paper we have studied the wavelength assignment mechanism based on BER blocking probability and power penalty blocking probability. The blocking probability is found to be the function of node count and wavelength count as well while considering the scalability of optical crossconnect (OXC). A wavelength assignment strategy is analyzed based on knowledge of crosstalk component, BER and power penalty at each node. ©2010 IEEE.