Now showing items 21-40 of 53

    • Handwritten numeral recognition using polar histogram of low-level stroke features 

      Parekh, Krishna A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Optical Character Recognition (OCR) is a technology that converts handwritten as well as printed documents into digital documents. It is also important for conversion of PDFs as well as images into an editable and ...
    • Human action recognition in video 

      Kumari, Sonal (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
    • hybrid approach to digital image watermarking using informed coding, informed embedding and spread spectrum 

      Dey, Nayan Kumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2006)
      The growth and popularity of the Internet has led to the data storage of multimedia data (audio, image and video) in digital form. The digitization form of multimedia data can be copied easily and then distributed again ...
    • Image aesthetic assessment using deep learning 

      Sherashiya, Shyam (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Image aesthetic assessment is defined as to classify the image in aesthetically good images and aesthetically bad images. In era of digital media, video and images has impact more in human life. Image aesthetic assessment ...
    • Image epitome generation and its applications 

      Shah, Twinkle (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      An image modeling scheme named “Epitome" was proposed by Brendan J. Frey and Nebjsa Jojic in 2002 [1]. Image epitome is a miniature, condensed version of the image. It is much smaller in the size compared to the input image ...
    • Image ranking based on clustering 

      Sharma, Monika (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
    • Implementation of SMAP and sentinel microwave signal based algorithm for high resolution soil moisture 

      Patel, Charin (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      In this study, we retrieve high-resolution soil moisture (SM) using an active-passive algorithm by merging Sentinel-1 C-band radar data with SMAP L-band radiometer measurements. Soil moisture is helpful in agricultural, ...
    • Kernel methods for data analysis 

      Dave, Rishi (2020)
      Linear learning machines like perceptrons, support vector machines are potent machines for pattern recognition tasks. They generate hyperplane to separate classes. There are many such real-life problems where such linear ...
    • Kernel variants of extended locality preserving projection 

      Bhatt, Pranjal Ketanbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In recent years, non-linear dimensionality reduction methods are getting popular for the handling image data due to non-linearity present in data. For the image recognition task, non-linear dimensionality reduction methods ...
    • Learning to rank: using Bayesian networks 

      Gupta, Parth (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Ranking is one of the key components of an Information Retrieval system. Recently supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ...
    • Moment based image segmentation 

      Chawla, Charu (Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
      Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ...
    • Multiple watermarking schemes for copyright protection 

      Bhatt, Krutarth (Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
      Recent advances in digital communication and storage technologies have brought major changes for consumers. High capacity hard disks and DVDs can store a huge amount of audiovisual data. In addition, faster Internet ...
    • Music genre classification using principal component analysis and auto associative neural network 

      Ballaney, Abhishek V. (Dhirubhai Ambani Institute of Information and Communication Technology, 2006)
      The aim of music genre classification is to classify music pieces according to their style. Principal Component Analysis (PCA) is applied on raw music signals to capture the major components for each genre. As a large ...
    • Numeral identification of handwritten indian languages 

      Nagar, Ravi Ashokkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      Automatic Speaker Verification (ASV) systems are prone to various spoofing attacks.Spoofing is one type of technique in which fake speech signal is given tothe ASV system to get the access of that system without the ...
    • Object classification in images using information slicing 

      Shah, Hina Rajiv (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
      Human visual system, in real world, identifies objects by their shapes, sizes and colors. More than often we identify objects around us specifically by using contextual knowledge of the objects. For example, an area of ...
    • Object segmentation in still camera videos 

      Pandya, Sweta A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
      The goal of object segmentation is to simplify and change the representation of an image into more meaningful so that it can easily analyse. Segmentation is the process of partitioning the digital image into multiple ...
    • Object-background segmentation from video 

      Domadiya, Prashant (Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
      Fast and accurate algorithms for background-foreground separation are an essential part of <p/>any video surveillance system. GMM (Gaussian Mixture Models) based object segmentation <p/>methods give accurate results for ...
    • Plagiarism detection 

      Rao, Sameer (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      This dissertation is on plagiarism detection.
    • Presentation Attack Detection in Face Recognition System 

      Sherasia, Kehkasha (2021)
      One of the quickest, most precise and easily available biometric recognition system is Face recognition. These systems have wide range of uses like phone verification, payment method security checks, border control and ...
    • Printed gujarati word-matching 

      Pulavwala, Tasneem (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      This report describes an approach to perform word-matching for printed Gujarati script word images. A query word image can be used to match indexed word images of a document for document retrieval. The process starts with ...