Search for: jamzad--mansour
0.007 seconds
Total 36 records

    Improving the Embedding Capacity of Steganography Methods

    , Ph.D. Dissertation Sharif University of Technology Sajedi, Hedieh (Author) ; Jamzad, Mansour (Supervisor)
    Providing security for digital information in a communication channel is a challenge in the recent years. This is due to the strength of high-speed processing resources that can threaten the security and correctness of communicating information. Using steganography method, the secret information can be hidden in an innocent media that does not attract the attention of third parties. This research discusses about steganography in images. The main goal of this research is presenting a universal steganography scheme with high steganography capacity. Using this scheme the steganographer can embed every large secret data in images securely. The reasons for selecting the subject of “Improving... 

    Real Time Car Model and Color Recognition Using SVM

    , M.Sc. Thesis Sharif University of Technology Arzan, Mohammad Mahdi (Author) ; Jamzad, Mansour (Supervisor)
    Recently many works has been focused on Automatic Security Systems. Car type and color recognition systems are needed in vehicle based access control systems in buildings, outdoor sites and even housing estates. Another usage of car type and color recognition is when a certain model of car is being investigated in highways and streets. In this thesis two independent systems are designed; one for car type recognition and another for car color recognition. They both require to know the license plate location, so we proposed a license plate detection system. In the license plate detection system, first the plate candidates are extracted from image by gradient and morphological operations, then... 

    Tamper Detection in Digital Images Using Transform Domains

    , M.Sc. Thesis Sharif University of Technology Barzegar, Zeynab (Author) ; Jamzad, Mansour (Supervisor)
    Nowadays, digital images are easy to manipulate and edit due to availability of powerful image processing and editing software. It is possible to add or remove important features to the image without leaving any obvious traces of tampering. Therefore, proving the authenticity and integrity of digital media becomes increasingly important. In this study, we focus on detection of a special type of digital forgery, the copy-move attack, in which a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image features or to add some fake feature. In this way we propose some novel methods that work in spatial domain, Discrete Cosine domain and... 

    Human Tracking by Probabilistic and Learning Methods

    , M.Sc. Thesis Sharif University of Technology Raziperchikolaei, Ramin (Author) ; Jamzad, Mansour (Supervisor)
    To overcome challenges such as object appearance changes and environment illumination variations in tracking methods, online algorithms are suggested to be used instead of offline ones. Online algorithms update the model by the information acquired in the last processed frame. The main challenge of using online algorithms is the accumulation of small errors after several steps of updating of the model (drift) which disturbs the model and causes tracking failure. Using the object information in the first frame in each update can be considered as a solution. The proposed online semi-supervised boosting algorithms can overcome the drift problem at the expense of decreasing their capabilities in... 

    Design and Implementation of a Face Model in Video-realistic Speech Animation for Farsi Language

    , M.Sc. Thesis Sharif University of Technology Ghasemi Naraghi, Zeinab (Author) ; Jamzad, Mansour (Supervisor)
    With increasing use of computers in everyday life, improved communication between machines and human is needed. To make a right communication and understand a humankind face which is made in a graphical environment, implementing the audio and visual projects like lip reading, audio and visual speech recognition and lip modelling needed. The main goal in this project is natural representation of strings of lip movements for Farsi language. Lack of a complete audio and visual database for this application in Farsi language made us provide a new complete Farsi database for this project that is called SFAVD. It is a unique audio and visual database which covers the most applicable words, all... 

    Indoor Office Environment Mapping Using a Mobile Robot with Kinect Sensor

    , M.Sc. Thesis Sharif University of Technology Sartipi, Kourosh (Author) ; Jamzad, Mansour (Supervisor)
    In recent years with advancement of Robotics, the applications of wide scale use of robots in our homes is not as far-fetched as it was before. One of the important problems for an indoor robot is moving inside a new and unknown environment. To achieve this, the robot should, with the help of its sensors, not only calculate its location; but should also build a map of the environment for later use. Additionally, the robot must be able to explore this unknown environment. The most important drawbacks of the classical solutions to these problems are long computation times, heavy memory usage and absence of precision. In recent years, large amount of research effort has put on solving these... 

    Face Motion Capture using a Regular Camera and Constructing face 3D Graphical Model

    , M.Sc. Thesis Sharif University of Technology Foroughi, Faraz (Author) ; Jamzad, Mansour (Supervisor)
    In this project, using one regular color camera, a video is captured of an actor’s face. Using machine vision and without any kind of markers on the actor’s face, this video is processed to extract the locations of some desired points on the face of the actor. Then these points are mapped to corresponding points on a 3D graphical model of a face, so that a realistic animation of facial movements is achieved. The extracted points, including points on the eyebrows, eyes and lips are the most important ones for the purpose of facial animation. To extract these points, in each region several methods are implemented and studied to find the best method, finally for extracting points on the... 

    Dynamic Motion Planning and Obstacle Avoidance Simulation for Autonomous Robot-car in Webots

    , M.Sc. Thesis Sharif University of Technology Amiryan, Javad (Author) ; Jamzad, Mansour (Supervisor)
    Motion planning in an autonomous vehicle is responsible for providing smooth, safe and efficient actions. Besides reducing the risk of collision with static and moving obstacles, the ability to make suitable decisionsencountering sudden changes in environment is very important. Many solutions for dealing this problem have been offered, one of which is, Artificial Potential Fields (APF). APF is a simple and computationally low cost method which keeps the robot away from the obstacles in the environment. However, this approach suffers from trapping in local minima’s of potential function and then fails to produce a plan. Furthermore,Oscillation in presence of obstacles or in narrow passages... 

    Steganalysis Method Based on Image Class

    , M.Sc. Thesis Sharif University of Technology Abolhasani, Amir (Author) ; Jamzad, Mansour (Supervisor)
    Steganalysis is the art of detecting hidden message in a cover such as an image. All steganalysis methods either are designed for a specific steganographer or are blind. Since for a stego image, the steganography method is not available, this is important to detect a stego image without any knowledge about the steganography method using which the secret image was embedded. Therefore in order to dominate all steganography method, if a given image is a stego one, we need to use voting over several steganalysis methods applied on the stego image to improve the accuracy of detection. But this approach needs a long time to process that is not practical for most steganalysis applications. We know... 

    Images Classification with Limited Number of Labeled Data Using Domain Adaptation

    , M.Sc. Thesis Sharif University of Technology Taheri, Sahar (Author) ; Jamzad, Mansour (Supervisor)
    The traditional machine learning methods assume that the training data and the test data are drawn from the same distribution (or drawn from the same domain). In practice, in many computer vision applications, this assumption may not hold. Unfortunately, the performance of these methods degrades on dataset drawn from a different domain. Domain adaptation attempts to minimize this degradation caused by distribution mismatch between the training and test data. Domain adaptation tries to adapt a model trainded from one domain to another domain. We focus on supervised domain adaptation method in which limited labeled data is available from the target domain. We propose a new domain adaptation... 

    Object Tracing Based on Detection and Learning

    , M.Sc. Thesis Sharif University of Technology Feghahati, Amir Hossein (Author) ; Jamzad, Mansour (Supervisor)
    Tracking is one of the old and still not thoroughly solved problems in machine vision. Its importance lies on its many applications. These applications vary from security surveillance to examining the motion pattern of atomic particles. There is not a tracker which has acceptable results in all situations, yet. A tracker faces many difficulties such as change in illumination and occlusion. In past, tracking was done by using filters or optical flows. By use of the advances in machine learning and pattern recognition, many models have been proposed to accomplish tracking by using these new learning methods. In this dissertation, we proposed a new tracking method which utilizes sparse... 

    Automatic Image Annotation by Multi-view Non-negative Matrix Factorization

    , Ph.D. Dissertation Sharif University of Technology Rad, Roya (Author) ; Jamzad, Mansour (Supervisor)
    Nowadays the number of digital images has largely increased because of progress in internet technology. Management of this volume of data needs an efficient system for browsing, categorizing, and searching the images. The goal of this research is to design a system for automatic annotation of unobserved images for better search in image data bases. Automatic image annotation is a multi-label classification problem with many labels which suggests some words for describing the content of an image. Designing AIA systems faces chanllenges like semantic gap between low level image features and high level human expressions (tags), incompelete tags and imbalance images per tags in the datasets.... 

    Automatic Skin Cancer (Melanoma) Detection Using Visual Features

    , M.Sc. Thesis Sharif University of Technology Moazen, Hadi (Author) ; Jamzad, Mansour (Supervisor)
    Melanoma is a malignant skin cancer which is caused by cancerous growth of melanocytes. If not treated at its early development stages, melanoma is the deadliest form of cancer. The best way to cure melanoma is to treat it in its earliest stage of development. Since a melanoma leasion is similar to benign moles (regaring its shape and appearance) at its early stages of development, it is often mistaken for moles and left untreated. Therefore, automatic melanoma detection can increase the survival rate of patients by detecting melanoma in its early stages. In this thesis, a new method for automatic diagnosis of melanoma using segmented dermoscopic images is provided. Almost all related... 

    Image Classication for Content Based Image Retrieval

    , M.Sc. Thesis Sharif University of Technology Saboorian, Mohammad Mehdi (Author) ; Jamzad, Mansour (Supervisor)
    In this project we tried to to solve the problem of clustring images of a large image database. Considering that there is no prior information regarding domain of the images, we will review unsupervised clustring methods. For this, we will discuss about image description vector and similarity measures. At last, our contribution will be about finding the optimum number of clusters with the least of user invervention. Results of runnig our method on a databse with 1000 images is reported and compared to a similar method named CLUE. Our result shows considerable improvements when user feedback taken to account.

    Facial Expression Recognition Using a Mobile Camera

    , M.Sc. Thesis Sharif University of Technology Rashidi Moghaddam, Zohreh (Author) ; Jamzad, Mansour (Supervisor)
    Detecting emotions and facial expressions, as a means of nonverbal communication between human and machines, has attracted a great deal of attention in recent decades with the developments in artificial intelligence and acknowledging the ties between robotics and future human life. Human face plays a key role in his communications and processing it in a video source for the sake of mood recognition could be employed in different applications such as improving human and machine communication and analysis of emotions in different circumstances. Facial expression detection is useful in understanding not only momentary emotions, but also mental activities, social interactions and psychological... 

    Content Based Image Retrieval Using Segmentation Similarity Measure

    , M.Sc. Thesis Sharif University of Technology Farhadi, Marzyieh (Author) ; Jamzad, Mansour (Supervisor)
    Content Based Image Retrieval (CBIR) is a research area in computer vision. This area comprises of two main steps, low level feature extraction such as color, texture and shape extraction and also similarity measures for comparison of images. The challenge in this system is the existence semantic gap between the low level visual features and the high level image semantics. The aim of research in this field is to reduce this semantic gap. In this study the images are divided into regions using Meanshift method, for color segmentation and then moments of each region as color feature are calculated. Also for extracting texture the images are divided into regions using Jseg method, and then... 

    Improving the Robustness of Image Watermarking for Publicly Copyright-Proving

    , M.Sc. Thesis Sharif University of Technology Shakeri, Mahsa (Author) ; Jamzad, Mansour (Supervisor)
    The advent of Internet and advancement of computer technologies have enabled convenient and fast exchange of multimedia so the illegal reproduction and modification of digital media has become increasingly serious. Hence, how to protect the intellectual property rights of digital multimedia is an imperative issue. Digital watermarking is one of the solutions to prevent unauthorized use of images. Traditional digital watermarking techniques embed a watermark such as logo, trademark, or copyright information into a host image so that it is not perceptible. These techniques, depending on the amount of embedded data, will distort the content of host image which results in quality degradation of... 

    Extracting Appropriate Features for Zero Watermarking of Similar Images for Ownership Protection

    , M.Sc. Thesis Sharif University of Technology Ehsaee, Shahryar (Author) ; Jamzad, Mansour (Supervisor)
    Digital watermarking is an efficacious technique to protect the copyright and ownership of digital information. Traditional image watermarking algorithms embed a logo in the image that could reduce its visual quality. A new approach in watermarking called zero watermarking doesn’t need to embed a logo in the image. In this algorithm we find a feature from the main image and combine it with a logo to obtain a key. This key is securely kept by a trusted authority. In this thesis we show that we can increase the robustness of digital zero watermarking by a new counter detection method in comparison to Canny Edge detection and morphological dilatation that is mostly used by related works.... 

    Automatic Image Annotation Using Deep Learning

    , M.Sc. Thesis Sharif University of Technology Bahramipoor, Misagh (Author) ; Jamzad, Mansour (Supervisor)
    With the advances in technology, Nowadays digital cameras are everywhere. As a result very large amount of images are on the web. Searching through these images intelligently and purposively is an essential need. Recently the possibility of retrieving images with some conceptual words along side of content based image retrieval has been studied in computer vision. For this purpose it’s required that for each image several words that describe its content be assigned automatically. One of the main problems for this task is semantic gap, meaning that the low level features such as color, texture,… don’t have the ability to describe the high level concepts in images which are comprehensible by... 

    Domain Adaptation Using Source Classifier for Object Detection

    , Ph.D. Dissertation Sharif University of Technology Mozafari, Azadeh Sadat (Author) ; Jamzad, Mansour (Supervisor)
    Detection degradation caused by distribution discrepancy between the training and testing domains is a common problem in object detection systems. The difference between training and testing domains’ distribution mainly happenes because of the different ways of collecting and gathering data. For instance, datasets which have images with different illumination, view point, resolution, background and are obtained by different acquisition systems, have variance in distribution. The solution toward improving the detection rate of the classifier trained on training (source) domain when it is applied on testing (target) domain is to use Domain Adaptation (DA) techniques. One of important branches...