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

Scalable video coding extension has been added to H.264AVC to support compression and encoding of multiple resolution video sequences, having different frame rates and fidelities in a single bit stream. The motion vectors and the residual data of the enhancement layers are derived from up-sampling the co-located macroblock (MB) of the base layer. The peak signal to noise ratio (PSNR) across the enhancement layers is degraded as up-sampling introduces distortion of high-frequency components. In this paper, a spatial-resolution-ratio-based MB mode decision scheme is proposed for spatially enhanced layers. The scheme uses the motion estimated at the base layer, to encode the respective MBs in the enhancement layers. The spatial–temporal search schemes at the enhancement layers are used to derive motion vectors and residues that are encoded using a quantization parameter obtained using independent rate control (IRC) scheme. The IRC from the prior art is modified to achieve better rate control per layer by recursive updates for mean absolute difference values of each basic unit. Proposed modified inter-layer dependency shows improvement in the PSNR for enhancement layers while the updated IRC enforces better IRC for all the layers.

School of Electronics & Communication Engineering

Engineering and Technology

World University root node

Fulltext

Springer-Sadhana – Academy Proceedings in Engineering Sciences, Vol.41, no. 12, doi: 10.1007/s12046-016-0568-6, Nov. 2016

Efficient Rate Control Scheme using Modified Inter- Layer Dependency for Spatial Scalability

Now a day security is a major issue in public places such as railway stations, airports, shopping malls and in crowded areas. Unattended object detection is one of essential tasks in video surveillance system. This paper proposes an algorithm for detecting unattended and unknown object using background subtraction and morphological filtering. The main goal of the algorithm is to automatically detect the suspicious object and to improve the safety and security of the public areas. The system takes frames from video which is captured by a static camera as input and subtraction of foreground and background is done using thresholding techniques. To improve the detected region, morphological operation is used in the process. The system recognizes the reasons of interest, creates blobs of objects, labels the blobs and finally gives a warning when suspicious objects are detected.

Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016

Suspicious object detection in surveillance videos for security applications

International Journal of Innovations and Advancement in Computer Science

Study and Analysis of JSVM onTMS3208168

This paper presents a rate control algorithm for H.264 Scalable video codec, based on an independent rate control (IRC) scheme for spatial scalable layers. An independent bit allocation scheme was targeted for the impact of spatial scalable layer on bit budget achievements. For each spatial layer, the target bits for the current basic unit is a function of budget allocation for current Group of Pictures (GOP), predefined frame rate, target buffer level, buffer occupancy, and the available channel bandwidth . The allocated bits for a basic unit are updated such that the target bits for each basic unit adapt to the respective spatial scalable layer. This dynamic bit allocation scheme is implemented according to the complexity of a basic unit in each spatial layer. The proposed algorithm introduces more precise bit allocation within spatial scalable layers with defined buffer size. In a single framework, IRC offers control for GOP level, frame level and macro block (MB) level. At MB level IRC provides finer bit rate and buffer control. Experimental results demonstrate that compared to algorithm in Scalable video codec reference software , the proposed method provides faster settling of target bit rate and thus is very desirable for H.264/SVC rate control applications.

IET Conference Publications

Independent rate control scheme for spatial scalable layer in H.264SVC

International Journal of Electronics and Communication Engineering

Complexity Control Using Inter Mode Decision In H. 264/AVC Baseline Profile

International Journal of Emerging Technology and Advanced Engineering

Optimized median filter implementation on FPGA including soft processor

Technology

A Fast Block Matching Motion Estimation Algorithm in Video Coding Standards

Analysis of Fast Computing Algorithms Using Macro block Motion Decision in H. 264

Fast Inter Mode Decision Algorithm for H. 264/AVC Baseline Profile for Mobile Video Conferencing

International Journal of Engineering Sciences Research(IJESR)

Improvement in Coding Performance of H. 264/AVC Using Macroblock Mode Decision

Rate Control Algorithm for Spatial Video Coding

Frame Level Rate Control Algorithm for Temporal Scalability in Scalable Video Coding

SCADA System for Plant Automation

Development of Fast Motion Estimation Algorithm With High Accuracy

APPLICATIONS OF COMPUTER VISION IN AGRICULTURE