Goyani M Mahesh

Goyani M Mahesh
Gujarat Technological University | GTU · Department of Computer Engineering

Ph.D

About

37
Publications
25,875
Reads
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214
Citations
Introduction
Experienced Assistant Professor with a demonstrated history of working in the higher education industry. Skilled in Computer Science, Photography, C++, Lecturing, Poetry, Art & Crafts and Drawing. Strong education professional with a Ph.D. focused in Facial Expression Recognition from Charotar University of Science and Technology
Additional affiliations
May 2011 - present
Gujarat Technological University
Position
  • Professor (Assistant)
Education
January 2014 - November 2017
Charotar University of Science and Technology
Field of study
  • Facial Expression Recognition

Publications

Publications (37)
Chapter
Full-text available
According to recent survey, there are at least 550 million people are using Devnagari script for communication. Hindi is one of the language, which is derived from Devnagari script. As it is a national language of India, Hindi Optical Character Recognition (OCR) System has a wide application in areas like post offices, Library automation, License P...
Article
Full-text available
Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process’s performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, two image comp...
Article
Full-text available
Many multimedia applications and entertainment industry products like games, cartoons and film dubbing require speech driven face animation and audio-video synchronization. Only Automatic Speech Recognitionsystem (ASR) does not give good results in noisy environment. Audio Visual Speech Recognition system plays vital role in such harsh environment...
Article
Full-text available
Nowadays, sports video analysis is gaining a lot of traction. Cricket is an exciting team sport to watch. Cricket is becoming more popular, but due to the game’s length and intricacy, computerized cricket video analysis is difficult. This motivates us to conduct surveys that will aid in the advancement of cricket research. We reviewed event detecti...
Article
Full-text available
Content-based image retrieval (CBIR) retrieves visually similar images from a dataset based on a specified query. A CBIR system measures the similarities between a query and the image contents in a dataset and ranks the dataset images. This work presents a novel framework for retrieving similar images based on color and texture features. We have co...
Article
Full-text available
Content-Based Image Retrieval (CBIR) is a well-known research topic from the computer vision domain which helps retrieve similar images from a dataset as per the specified query image. The retrieval performance is inadequate for benchmark datasets viz., Corel-1k, Corel-5k, Corel-10k, and Ghim-10k. In this paper, we have encountered the problem of t...
Chapter
Full-text available
In this chapter, we investigated computer vision technique for facial expression recognition, which increase both - the recognition rate and computational efficiency. Local and global appearance-based features are combined in order to incorporate precise local texture and global shapes. We proposed Multi-Level Haar (MLH) feature based system, which...
Article
Full-text available
The objective of the content-based image retrieval (CBIR) system is to retrieve the visually identical images from the database efficiently and effectively. It is a broad research realm with the availability of numerous applications. Performance dependence of CBIR focuses on the extraction, reduction, and selection of the features along with the pr...
Article
Face Recognition is the process of identifying and verifying the faces. Face recognition has vast importance in the field of Security, Healthcare, Banking, Criminal Identification, Payment, and Advertising. In this paper, we have reviewed various techniques and challenges for the face recognition. Illumination, pose variation, facial expressions, o...
Article
Full-text available
Accurate Facial Expression Recognition (FER) can lead to improved man-machine interaction. The success of pattern recognition depends heavily on the amount and the quality of training samples. Over the time, many expression datasets have been published, but most of them are designed under controlled environment. Expressions are faked by subjects wi...
Article
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Facial Expression Recognition has become vital considering its numerous applications including Human Computer Interaction, security, gaming, animation, medical field etc. In order to effectively implement these applications, the proposed method aims to increase the overall accuracy and robustness of the recognition system. Fusion of two feature ext...
Article
Full-text available
Facial expressions play an equally important role as verbal communication and tonal expression. Recognition of facial expression is important in industrial automation, security, medical and many other fields. An image is a very rich and high dimensional data structure, which can result into a considerable computation when processed upon directly. V...
Article
Full-text available
Content-Based Image Retrieval (CBIR) is the solution to the image retrieval problem based on the contents of the query image. The objective of the CBIR system is to retrieve the visually similar images from the database efficiently and effectively but still, no satisfactory performance has been achieved. The performance of the CBIR system mainly de...
Article
Full-text available
Facial expressions play an equally important role in verbal communication and tonal expressions. They echo the mental state of the person. Expressions can be modelled either by using descriptive features - coded using facial muscles or judgmental features - coded using texture information. In this paper, we surveyed mainly judgmental feature based...
Article
Full-text available
Ability of recognizing facial expression is important part of behavioural science, which helps to ease the communication. This ability can serve in many contexts. Hence, facial expression is an important research area over the last two decades. In this paper, describes the extraction of the minimum number of Gabor wavelet parameters for the recogni...
Article
Full-text available
Content Based Image Retrieval (CBIR) is the technique of retrieving the similar images from the large database as per user query by matching the contents of images. CBIR is widely used in various computer vision applications such as medical field, E-commerce, Satellite Imaging, and Art Collections and so on. Different types of contents which can be...
Article
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In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Binary Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the thresholded neighbor value of 33 patch on its mean. LHMBP produces highly discriminative co...
Article
Full-text available
It is a well-known fact that facial expressions are one of the key reflectors of the emotional state of a person and the research on the same has been spanning for a long time. Being an essential requirement in Human Computer Interaction as well as other applications such as automobile safety, mental health detection, animations, etc. recognizing f...
Article
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Images are nowadays an integral part of our lives, whether in scientific applications or social networking and where there is an image, the concept of blurring might occur. Blurring is a major cause of image degradation and decreases the quality of an image. Blur occur due to the atmospheric commotion as well as the improper setting of a camera. Al...
Article
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Fingerprint recognition is one of the most well-known and publicized biometrics for personal identification and authentication. With the advancement of technology and for security purposes in various civilian, defence and commercial applications, fingerprint recognition is studied since a long time. Since second millennium BCE when fingerprints wer...
Article
Full-text available
Recognition of facial expressions is important in industrial automation, security, medical, and many other fields. An image is a very rich and high dimensional data structure, which can result into a considerable computation when processed upon directly. Various feature extraction techniques have been proposed to represent the images efficiently in...
Article
Full-text available
In this paper, we propose a novel appearance based local feature descriptor called Local Mean Binary Pattern (LMBP) for facial expression recognition. It efficiently encodes the local texture and global shape of the face. LMBP code of a pixel is produced by weighting the thresholded neighbor intensity values with respect to mean of 3 × 3 patch. LMB...
Article
Full-text available
Background/Objective: Facial expressions play an equally important role as verbal communication and tonal expressions. Recognition of facial expression is important in industrial automation, security, medical and many other fields. Methods/ Statistical Analysis: In this paper, we propose multilevel haar wavelet-based approach, which extracts appear...
Conference Paper
Full-text available
Content based image retrieval (CBIR) considers the characteristics of the image itself, for example its shapes, colors and textures. CBIR has many applications areas such as, education, commerce, military, searching, bio medicine and web image classification. The domain of CBIR is expanding day by day, the requirements have become complex and so ar...
Article
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Sorting is the important operation and well-studied problem in computer science. Sorting refers to the operation of arranging data in some given order such as ascending or descending, with numerical data, or lexicographical order. Data being sorted may be single valued data or it may be satellite data. So according to the cost of memory and write o...
Article
Full-text available
Optical Character Recognition Systems are getting more and more attention in recent decade. In many countries, OCR has been a part of their government sectors like post offices, Library automation, License Plate Recognition, Defence organization etc. According to recent survey, there are at least 550 million people are using Devanagari script for c...
Conference Paper
Full-text available
Recognizing text from scanned document is the classical problem of pattern recognition and image processing. In this paper, we have proposed hierarchical algorithm for English Optical Character Recognition (OCR). Beauty of this algorithm is that it does not need any features or classifiers like Neural Network (NN) or Support Vector Machine (SVM). P...
Conference Paper
Full-text available
In this paper, we have discussed dimensionality reduction techniques for face recognition - Principle Component Analysis (PCA) and Fisher Discriminant Analysis(FDA). Both the methods are based on linear projection, which projects the face from higher dimensional image space to lower dimensional feature space. PCA derives the most expressive feature...
Article
Full-text available
In this paper, we propose an algorithm to detect semantic concepts from cricket video. In our previous work, we have proposed key frame detection based approach for semantic event detection andclassification. The proposed scheme works in two parts. In first part a top-down event detection and classification is performed using hierarchical tree. In...
Conference Paper
In this paper, we propose a key frame detection based approach towards semantic event detection and classification in cricket videos. The proposed scheme performs a top-down event detection and classification using hierarchical tree. At level 1, we extract key frames for indexing based upon the Hue Histogram difference. At level 2, we detect logo t...
Conference Paper
Full-text available
Nowadays image authentication plays a vital role for security. Watermarking techniques facilitate to hide the data in carrier image in such a way so that data would become imperceptible. Watermarking can be performed either in spatial domain or in transfer domain. Least Significant Bit (LSB) modification is the simple but non reliable theme, which...
Conference Paper
Full-text available
Face detection and face tracking has been a fascinating problem for image processing researchers during the last decade because of many important applications such as video face recognition at airports and security check-points, digital image archiving, etc. In this paper, we attempt to detect faces in a digital image using skin colour segmentation...
Conference Paper
Full-text available
Many multimedia applications and entertainment industry products like games, cartoons and film dubbing require speech driven face animation and audio-video synchronization. Only Automatic Speech Recognition system (ASR) does not give good results in noisy environment. Audio Visual Speech Recognition system plays vital role in such harsh environment...
Article
Full-text available
Face recognition has been grown as a prime security idea since last decade. Face detection is the basic step in face recognition. In this paper, we have discussed the approach to detect faces from the 2D color images with single or multiple faces. Proposed algorithm work in three steps, skin color segmentation, morphological operations and last ste...
Article
Full-text available
In this paper, the exploration of new face recognition technology that is 3D face recognition is being analyzed. Face Recognition is widely used for security at many places like airport, organizations, many devices etc. The challenges faced in 2D face recognition technology is been solved through various approaches mentioned in the paper. The vario...

Questions

Questions (2)
Question
ERM is used in neural network and SRM is used in SVM. But i dont understand what is the difference between then and how they are computed...
Question
It is common observation that as we increase number of eigenvectors for projection, we get better discriminating features. But this is not always true. Many times, performance is degraded with higher number of eigenvectors. Can any one explain the logic?

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Projects

Projects (5)
Project
To enhance the performance of CBIR system in the context of precision, recall, and retrieval time.
Project
The core idea is to identify and analyse different feature extraction and feature selection strategies along with deep learning methodology so that, this domain specific knowledge could be applied for innovative research in order to carry out maximum classification accuracy for identified Image Datasets.