Tejaswini Kar

KIIT University | KIIT · School of Electronics Engineering

The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techniques are commonly used. While pixel-based local thresholding methods can achieve high accuracy, they...

The integration of high data transmission rates and the recent digital multimedia technology, paves the way to access a huge amount of video over the internet, in seconds. Additionally, uploading videos to different websites is no more confined to expert software professionals resulting in duplication of video data which led to exorbitant growth of...

Malignancy risks and genetic disorders have long been challenging due to procedures that lack precision and predictability, thereby complicating the precise identification of diseases and their root causes. Machine learning classifiers have emerged as more suitable and effective tools. Various machine learning classifiers have been utilized to exam...

Medical imaging plays a vital role in detecting and treating brain tumors. Malignant or nonmalignant brain tissue’s abnormal growth causes long-term brain damage. It is crucial to detect and properly categorize the kind of brain tumor. Specialists normally use MRI to create high-contrast grayscale brain images to segment them. Convolutional neural...

Thresholding-based two-class image binarization is one of the simplest and most popular approaches. However, the performance of global thresholding degrades under non-uniform lighting conditions. Local thresholding methods are widely used for binarizing uneven light images. The appropriate choice of the initial size of the window and designing the...

This paper presents an innovative approach for Raga Identification in Carnatic Classical Music, leveraging a Stacked Ensemble Learning Model alongside individual classifiers, namely Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF). The dataset encompasses diverse ragas, both Melakartha an...

Wearable antennas are designed to function while being worn. These antennas are commonly used in wearable wireless communication and bio-medical RF systems.

Due to a lack of preparedness, the COVID-19 epidemic wreaked havoc on the healthcare system. COVID-19 has an increased risk of causing catastrophic results in some vulnerable groups, such as the old, fragile, or those with several chronic illnesses. During the COVID outbreak, the scarcity of medications also played a significant role in the large n...

Image features are better captured by saliency values, which can be deployed for subsequent high level processing at a reduced computational complexity. In this paper, we proposed a novel algorithm that integrates saliency and a low complexity block truncation coding (LCBTC) in a single framework. The proposed LCBTC framework has great potential in...

Transmission of high volume of data in a restricted wireless sensor network (WSN) has come up as a challenge due to high-energy consumption and larger bandwidth requirement. To address the issues of high-energy consumption and efficient data transmission adaptive block compressive sensing (ABCS) is one of the optimum solution. ABCS framework is wel...

An efficient video shot boundary detection is highly desirable for subsequent semantic video content analysis and retrieval applications. The major challenge of shot boundary detection problem is an appropriate choice of features to handle the illumination variation and motion artifacts of frames while finding the boundary in a shot. In this paper,...

To meet the high bit rate requirements in many multimedia applications, a lossy image compression algorithm based on Walsh–Hadamard kernel-based feature extraction, discrete cosine transform (DCT), and bi-level quantization is proposed in this paper. The selection of the quantization matrix of the block is made based on a weighted combination of th...

Several techniques have been developed in recent times for shot boundary detection with reliable performances in the detection. Different features are used for the evaluation of the feature difference between two consecutive frames. In this paper, an effort has been made to generalize the appropriate distribution of any feature similarity used in t...

Kar, T.Kanungo, P.Jha, VinodShot boundary detection is the first and the most crucial step towards video content management applications including indexing, retrieval and summerisation. In this paper, an abrupt transition detection algorithm has been proposed based on phase congruency feature of the frames. The phase congruency feature is insensiti...

In the recent pandemic, accurate and rapid testing of patients remained a critical task in the diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of the sudden increase in cases, most countries have faced scarcity and a low rate of testing. Chest X-rays have been shown in the literature to be a potential source of...

Abstract: Advancement of technology in the field of Character Recognition have emerged as the key technology which has helped the entire industrial space in many ways including digitization of hand written manuscripts, postal automation, text to speech conversion to help the blind. Today character recognition has emerged and is available for severa...

In the present Kar, T. an ingenious and robust method of abrupt scene change detection in video sequences Kanungo, P. presence of illumination variation based on local directional pattern is proposed. A similarity measure is developed by evaluating the difference between the new texture based feature descriptor which is compared to an automatically...

The spontaneous proliferation of video data necessitates implementing hierarchical structures for various content management applications. Temporal video segmentation is the key towards such management. To address the problem of temporal segmentation, the current communication exploits the concept of psychological behaviour of the human visual syst...

Detecting and locating a desired information in hefty amount of video data through manual procedure is very cumbersome. This necessitates segregation of large video into shots and finding the boundary between the shots. But shot boundary detection problem is unable to achieve satisfactory performance for video sequences consisting of flash light an...

Great advancement and popularity of multimedia technology facilitates uploading and accessing thousands of videos through internet in seconds. This demands adopting efficient video data management techniques for ease of storage and browsing applications. This in turn requires an efficient method of annotation. Automatic cut detection is the elementar...

Impulsive growth of multimedia technology and popularity of social sites facilitates increasing application of video information which includes video indexing, browsing, retrieval and classification. Most of the videos, available in internet for public access are non-edited videos. Efficient way of searching and storage need an efficient method of...

Due to the popularity of multimedia technology and digital world, thousands of videos are accessed through internet in seconds. Most of the videos, available in internet for public access are non-edited videos. Efficient way of searching and storage need an efficient method of annotation. Automatic cut detection is the first stage of any automatic...