Muguras Mocofan

• PhD
• Vice Dean at Polytechnic University of Timişoara

The paper has the main aim to present the experience of the Politehnica University of Timișoara in the context of its participation to one of the European Universities Alliances consortium over the last 4 years. The main subjets addressed regarding co-creation principles in teaching, learning and research are presented. Another key issue addressed...

Recognition and identification of urban landmarks is not a facile task and naturally blends several research topics like image signal processing, computer vision, augmented reality. In this paper we introduce TMBuD-v2 - Timişoara Building Dataset - a multi-purpose dataset for urban landmark recognition. The TMBuD-v2 building dataset contains 1360 i...

The paper advances an analysis of ocean waves showcasing a combination between 3D approaches of dynamic textures and time variations of co-occurrence matrix features, viewed as a new dimension. The main features deployed in the present work are: contrast, homogeneity, correlation, directivity and entropy calculated for following directions, i.e. fr...

The paper aims describing a collaborative international initiative of four European universities to develop a training program for supporting university teaching staff in creating and using multimedia technologies effectively (extend their digital competencies). Thus, teaching and researching staff from higher education institutions will follow a d...

The new communication technologies, which are in constant evolution, overwhelm the current communication interaction, from the enunciation level and the overlapping of interactive roles to the multi-modality of the message and the proliferation of forms of representation and signification. This is the context in which researchers' concerns focus no...

Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These systems play an important role in tourism and cultural heritage storytelling augmented reality applications in urban environments. In this paper, we propose a system that aims to recognize landmarks from urban scenarios usi...

Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These systems play an important role in tourism and cultural heritage storytelling augmented reality applications in urban environments. In this paper, we propose a system that aims to recognize landmarks from urban scenarios us...

The new communication technologies, which are in constant evolution, overwhelm the current communication interaction, from the enunciation level and the overlapping of interactive roles to the multi-modality of the message and the proliferation of forms of representation and signification. This is the context in which researchers' concerns focus no...

Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting and actual topic in the image processing domain. For this research topic the Computer Vision and Augmented Reality areas intersect for creating a better understanding of the urban scenario for various topics. In this paper we aim to intr...

Content based image retrieval systems are an active research topic in the Computer Vision domain. These systems are important when dealing with urban environment augmented reality applications like building landmarks recognition, tourism storytelling, cultural heritage and so on. In this paper we propose a content-based image retrieval system that...

Content based image retrieval systems are an active research topic in the Computer Vision domain. These systems are important when dealing with urban environment augmented reality applications like building landmarks recognition, tourism storytelling, cultural heritage and so on. In this paper we propose a content-based image retrieval system that...

Digital storytelling platforms have proven to be a great way of bringing cultural heritage closer to people. What lacks is a deeper understanding of the user experience of such systems, especially in multi-platform digital storytelling. For the last three years, we have been developing a project called Spotlight Heritage Timisoara, which is at its...

Building detection in urban street view scenarios is becoming an important aspect of Computer Vision applications. In this paper we present an analysis of EDLine and Edge Drawing algorithms in a streetview dataset scenario when changing the first order derivative operator used inside the algorithms. To do so, we focused firstly on the general use c...

Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting and actual topic in the image processing domain. For this research topic the Computer Vision and Augmented Reality areas intersect for creating a better understanding of the urban scenario for various topics. In this paper we aim to intr...

Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the resulting edge-map. In this paper we present a version of Edge Drawing algorithm in which we include an automated threshold choosing step. To better highlight the effect of this additional step we...

Building detection in urban street view scenarios is becoming an important aspect of Computer Vision applications. In this paper we present an analysis of EDLine and Edge Drawing algorithms in a street-view dataset scenario when changing the first order derivative operator used inside the algorithms. To do so, we focused firstly on the general use...

Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting and actual topic in the image processing domain. For this research topic the Computer Vision and Augmented Reality areas intersect for creating a better understanding of the urban scenario for various topics. In this paper we aim to intr...

Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the resulting edge-map. In this paper we present a version of Edge Drawing algorithm in which we include an automated threshold choosing step. To better highlight the effect of this additional step we...

—Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the resulting edge-map. In this paper we present a version of Edge Drawing algorithm in which we include an automated threshold choosing step. To better highlight the effect of this additional step we...

Computer Vision is a cross-research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. The image processing systems is continuously growing and expanding into more complex systems, usually tailored to the certain needs or applications it may serve. To better serve this purpose, resea...

Computer Vision is a cross research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. In addition to research on techniques and algorithms that enhance the capabilities of a Computer Vision system, research on the architecture and design of such systems is also important. In this pa...

Computer Vision is a cross research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. Parallel to research done upon the techniques and algorithms that enach the capabilities of a Computer Vision system, research on the architecture and design of such systems was equally important....

The e-Learning became a trend that continues to grow as importance, complementing the classical/traditional classroom. Students' opinion is important in designing an open course, in the way they perceive their activities and especially related to the practical part. The objective is to analyse how to create a course including a list of desired tech...

The project m-commerce focuses on the training of staff and employees of Small- and Medium-sized Enterprises (SMEs) in order to facilitate the further development and expansion of m-commerce activities. The m-commerce training course, a holistic approach, includes economic, legal and technical topics that are necessary for the switch to m-commerce....

The paper presents a case study of a lifelong learning program "The TrainCoDe", funded by the Lifelong Learning Programme, under Leonardo da Vinci action and implemented by a consortium composed of 5 internationally recognized organizations coming from 4 EU countries. The project is focused on transferring, customizing and localizing a training pro...

Introduction COFFE project proposes the transferring and modernizing an on-line tool "Simulation enterprise", dedicated to vocational school students which enables users to run virtual enterprise producing mobile phones and manage it in an environment reflecting real economic conditions. The game is concentrated on developing entrepreneurial skills...

Hand-held technologies are becoming commonplace within everyday lives but can also be used for powerful learning experiences inside the classroom and outside of the traditional education environment. We start training of teachers to embed mobile technologies within mainstream learning in and out of the classroom by providing training on hand-held d...

This paper analyze the correlation between the components of the indexing vector and the discrimination distances used in the similarity searching of the dynamic textures in multimedia databases. The analysis is performed by introducing more scroll direction and length of translation for cooccurrence matrix and color histogram.

Many of the latest studies on the new communication technologies tend to focus more on the opportunities and facilities provided by the transmission medium rather than on the modes of representation. Starting from the idea that the various forms of representation or communication and their means of dissemination are intrinsically linked, in this pa...

This paper discusses the current developments in interactive video and its implications for online learning, and particularly to the new educational concept of MOOC - Massive Open Online Courses. The authors present an interactive video platform that can be easily used for generation of interactive videos. The article proposes a theoretical and pra...

Studies shows that an individual's personality plays a major role in the educational process, and directly determines a student's predisposition to engage in a self-directed learning process. This is particularly the case with distance education, where motivation is a key factor. With the newly emerging field of interactive video in education, pers...

The area of applications of dynamic texture is increasingly wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features. The data from the video sequence that represents the dynamic texture are loaded in a...

We focus on the study and characterization of dynamic textures using the co-occurrence matrix features in a 3D approach. More directions and translations are used to compute the co-occurrence matrix features. A relevant characterization will also lead to other applications, such as spatial-temporal segmentation or removal of dynamic backgrounds. Th...

The area of applications of dynamic texture is very wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features. We use more directions and translations to compute the indexing vector from the 2D+T space of...

Learning image processing techniques and image database indexing by students is undeniably equally challenging and rewarding. The teaching model suggested by the present paper advances a genuinely workable and interactive framework providing a commonly-shared environment for students and tutors. Within this highly interactive environment, students...

This paper discusses a solution of using a single hardware appliance by analyzing disk the read and write performance inside a virtual machine.

Learning image processing techniques by students proves to be often challenging. The model proposed in this paper presents a framework that provides a common environment for students and tutors. Within this highly interactive environment, the student can explore examples of tutor-proposed algorithms run on a large number of images from different ar...

Extraction of information relays heavily on the user. The correct extraction of information is very important especially in an eLearning environment. We can ensure correct distribution of important data (contact information, calendar events, and locations) by encapsulating that information in the correct formats and rely on automated agents for dat...

For indexing an image databases there are used many features. In this paper are used features like histograms for the color components, stochastic moments, few parameters of the co-occurrences matrix and the Gabor filters decomposition. Using all of them we obtain good performance in the field of content-based image indexing and retrieval. There ar...

This paper introduce a new method to characterize the preparation results of calcium aluminoferrite solid solutions, Ca2(Fe1-xAlx)2O5 by means of combustion synthesis base on texture analysis. To define a image characteristics can be used many features. Using all of them we don't obtain good performance in the field of description. There are also s...

Semantic Web appears as the much awaited technology of the future, an extension of the current Web, where the information receives a structured meaning used by intelligent agents to better find and process the web data. Microformats, designed both for humans and machines, are amongst the first steps towards this desideratum. The current paper conce...

Semantic Web is the next big thing on the Internet. It implies the general movement towards standardization and machine processable Web information. As a part of this new wave, Microformats appear as the link between present and future Web. They are the lower case semantic Web, dedicated to both humans and machines. We used Microformats in the dist...

The modernization of the buildings with the most performing technologies starts to grow more and more, and like a consequence, many people appeal to this technique, to live in a more safety house, and why not, more comfortable. We propose them a multimedia interface connected with a relational database to control the scenarios of smart buildings. T...

Security is a problem at multiple levels and for this reason we create an isolated, parallel network to control the smart buildings using the SMS technologies.

In this paper an easy to use and still efficient parallel image processing framework is presented. The aim of this research is to provide a simply, portable and efficient programming interface for these algorithms. Performances is gained using a message passing distributed model on the JPVM platform. Examples and experimental results where shown.

The Gabor filters offer good performance in the field of content-based image indexing and retrieval. Here, I present an algorithm for indexing and retrieval, which use the similarities, properties of human visual system for textured images. This system is very useful for clustering textured images using similarities offered by a multichannel decomp...

One of the most difficult problems in testing MPEG compressed video quality is the encoder's performance evaluation, as there are no rigid specifications for its realization. The authors concluded that only a combination of objective and subjective test procedures could give a good approach for solving that problem. The paper presents both the theo...

This paper is focused on a hierarchical structure of modular self-organizing neural networks for unsupervised texture segmentation (sofm-nn). Input data consists of local information regarding textures (cooccurrence matrix elements) and the texture image itself. An unsupervised segmentation is done using a sofm-nn network and then the final segment...

The Gabor filters offer good performance in the field of content-based image indexing and retrieval. Here, I present an algorithm for indexing and retrieval, which use the similarities, properties of human visual system for textured images. This system is very useful for clustering textured images using similarities offered by a multichannel decomp...

For the indexing of an image data bases can be used many features. In this paper are used features like histograms for the colour components, stohastic moments, few parameters of the co-occurrences matrix and the Gabor filters decomposition. Using all of them, I obtain good performances in the field of content-based image indexing and retrieval. Th...