Top Engineering Colleges In Karnataka

Karnataka’s Engineering Colleges, enroll over 85,000 students every year. Also Karnataka has the highest number of Medical Colleges in India and has 8 of the Nation’s Top 75 top ranked engineering institutions. In recent years Karnataka has emerged as the most preferred education hub in India. It attracts educational aspirants from across India as well as from all over the world. The state shelters a multitude of Top Engineering Colleges.

The ratings are done basically on the unique courses they offer, the infrastructure they provide, Faculty and Research programs provided. Most of the Top Engineering Colleges inKarnataka provide best quality in-campus training, which will make their students industry ready on completion of their professional course.

Some of the Top Engineering Colleges inKarnataka are IIIT Bangalore, NIT Surathkal, which is recognized as the Institution with National Importance, PESIT at Bangalore, BMS College of Engineering etc. The IT Capital of India, Bangalore, has several industries spread over different streams like Biotechnology, Pharma, Electronics, and Software etc. In order to serve the demand of technical personnel, the state has more than 150 Top Engineering Colleges, mainly focuses on service sector.

VTU, Visvesvaraya Technological University governs all the engineering colleges in the state. Karnataka is a very well technologically developed State in India and because of its enormous opportunities in different streams and proper training in campus for students to reach their destiny, makes it a favorite spot for educational aspirants. If you see the educational system and the literacy rate, the recent past has showed a tremendous increase in the literacy rate of the state. Even the state government is involved much in improving the educational condition in the state. State government has introduced many Schemes and Educational programs to bring awareness about education among the people.

Engineering Colleges in Karnataka

Karnataka, the IT state of India, is one of the hot spot for higher education in India. This is mainly because of the quality of education the institutions provide. Most of the good, top rated EngineeringColleges in Karnataka, provide in-campus training to make their engineering students job ready. Recently VTU, Visvesvaraya Technological University, Belgaum, which governs all the Engineering Colleges in Karnataka and NBA, Nations Board of Accreditation, signed an MoU, to work jointly towards Identifying fifteen centres across India, among them, five in Karnataka, and to train engineering students in the latest trends in Corporate world.

This joint effort will mark as a historical step as this will help the students, management and faculties to improve the knowledge of engineering students, once they pass out. According to this program students will be trained in skills that are really required for field work. According to NDA secretary, they have already identified fifteen nodal centres across India. Their focus would be mainly on Faculty Development Programs, Outcome based education and Outcome based accreditation.

The team has selected five centres from Karnataka to offer such trainings, in Bangalore, Belgaum, Gulbarga, Mysore and Davanagere. These centres would be connected to all the 196 EngineeringColleges in Karnataka. This move would benefit approximately three lakh VTU Students. And also the VTU has decided to go paperless and is in the process of that. The plan is to mail question papers online and answer sheets to be digitized. All the official procedures which consists of admissions and other formalities will also go online as per VC, VTU.

Nowadays Students and Parents care a lot about the top rated colleges, the facilities they got, the placement history, the quality of education these institutions provide, when they consider for a professional degree. All these points guide them to find an Engineering college in Karnataka, which is home for around 200 colleges.

Engineering Colleges in Karnataka

Karnataka, the IT state of India, shelters some of the premier educational and research institutions like Indian Institute of Science, Indian Institute of Management, The National Institute of Technology etc. The state has become one of the most favorite education destinations, for most of the students from all over the country. The educational system of the state is unique in entire south Asia, and became the state with largest number of professional colleges. The Engineering Colleges in Karnataka made up to the top rated colleges list several times, mainly because of the facility they provide like faculty, degree courses they offer, also the infrastructure and last but not the least, the quality of education.

Since many years, Engineering is one of the best courses in Karnataka, selected by students and it has become a good career option for most of them. In the year 1998, most of the Engineering Colleges in Karnataka was brought under the university called Visvesvaraya Technological University, headquartered at Belgaum.

Some of the very well known Engineering Colleges in Karnataka is NIT Surathkal, IIIT Bangalore. Under the deemed university category also Karnataka has one of its best college of engineering, Manipal Institute of Technology at Manipal. This Engineering College in Karnataka is affiliated to the very famous Manipal University and it offers dual courses in degree.

There are several state universities and affiliated colleges in the state of Karnataka. Also Karnataka has the largest number of colleges which got grant from TEQIP. Karnataka is developing as the fastest growing IT hubs of India, and hence the state has so many opportunities for professional students. Most the professional learning institutes are providing in campus training, so that their students will be industry ready, once they finish their professional course. Even the colleges give more importance in introducing new course offerings which are very unique like the disciplines in Information Science or Biotechnology.

Best Engineering Colleges in Karnataka

Karnataka, titled as ‘IT state of India’, is one of the most favorite destinations for educations in India. Some of the known BestEngineering Colleges in Karnataka are NIT Surathkal, IIT Bangalore etc. Other include over 100 affiliated colleges or state universities and one deemed university. One of the Best EngineeringColleges in Karnataka under the deemed university category is Manipal Institute of Technology at Manipal. MIT- Manipal offers dual degree courses and International Exchange programs. It is affiliated to Manipal University.

The NIT Surathkal at Surathkal has been identified as the Institute with National Importance. IIIT Bangalore also specializes in IT Courses and offer outreach programs and research options for their students. By providing all the facilities these two institutions has become one of the Best Engineering Colleges in Karnataka.

In the state of Karnataka, there are several state universities and affiliated colleges. Some of the Best Engineering colleges in the state include, BMS College of engineering at Bangalore, PESIT at Bangalore, and RV College of Engineering at Bangalore etc.

Almost 200 engineering colleges from Karnataka made up to the Top rankings. The rankings are basically done on Infrastructure, Faculty, Research and Engineering Degrees offered by the college. Usually Colleges offering Master Degree in Engineering were given preference, because AICTE inspects to check these colleges have sufficient number of Faculties and also Infrastructure to run Master Degrees. Also Karnataka has the highest number of colleges to have been deemed fit for the grant given by TEQIP.

Some of the best colleges for higher learning includes Indian Statistical Institute (1978), Indian Institute of Science (1911), Indian Institute of Management (1972) etc. The IT Capital of India, Bangalore, shelters few of the best learning institutes thereby becoming the favorite educational spot in Karnataka.

Top Engineering Colleges in Karnataka

Karnataka, a south western state of India, was originally known as the State of Mysore, shelters a multitude of Top EngineeringColleges. It is constantly emerging as a center for those who is willing to get into IT Industry. Almost all the TopEngineering Colleges in Karnataka provides best in-campus training facilities and that in turn makes Karnataka as the most sought after destinations for engineering aspirants.

When we look at the IT Capital of India, Bangalore, it has various industries spread over in the field of Electronics, Pharma, Software and Biotechnology. To feed the demand of technical personnel, the state has more than 200 Top Engineering colleges, focused mainly in Service sector.

The recent past has marked a growth in introducing new disciplines like Biotechnology and Information Science. Yet other unique offerings by Top Engineering Colleges include, Ceramics and Silk Technology, Construction Technology and Management, Mechatronics etc. But when we look at the most preferred branches in Engineering Colleges are Mechanical, Electronics and Computer Science. The admissions are possible for the Top Engineering Colleges in Karnataka through two entrance exams known as KCET and COMEDK.

Karnataka has almost 20 universities to which all the Engineering colleges belongs to. The first University to be started in Karnataka was Mysore University, established in 1916. This was followed by the Karnataka University (1949), the Bangalore University (1964), the Mangalore University (1980), the Gulbarga University (1980), and the Kuvempu University (1987). NAAC (National Assessment and Accreditation Council), an autonomous institution of the University Grants Commission, has awarded five star status to universities like Bangalore, Mysore and Gulbarga.

In IT Capital of India, Bangalore, almost 14 colleges have been qualified and selected for grants through the Phase II of the TEQIP (Technical Education Quality Improvement Programme). TEQIP is a World Bank-assisted project launched by the Union Ministry of Human Resources and Development in 2004.

MATLAB and Simulink Workshop

MATLAB is a product of MathWorks. MATLAB stands for Matrix Laboratory. Any data
entered will be stored as a matrix. MATLAB is a high - performance, high – level language
and an interactive environment. Its basic data element is an array. It allows us to solve many
technical computing problems in a fraction of time than it would take if we used any other
high – level language such as C, C++, FORTRAN, etc. At the same time MATLAB provides
all the features of a traditional programming language, including arithmetic operators,
control flow statements, data types, Object Oriented Programming (OOP) and debugging
features. Thousands of engineering and mathematical functions are available in MATLAB,
eliminating the need to code and test them yourself. MATLAB runs on both Windows and
UNIX platforms. We can create informative data visualisation and build GUIs using MATLAB.
MATLAB has applications in signal and image processing, communications, financial
modelling, computational biology, etc.

Simulink is a block diagram environment. It is tightly coupled with MATLAB, i.e., it
cannot execute without MATLAB. It is a subset of MATLAB. Simulink is used in modelling.
It enables user to graphically model, simulate and analyse systems whose outputs change
over time. Everything in Simulink is represented in the form of block diagrams. Simulink is
also widely used for its code generation capabilities. It generates code out of the system
designed. The code so generated will be free of manual errors. The system designed will
be continuously tested and verified, and any errors will be detected in the early stages
of development. Simulink find applications in the areas of education, instrumentation,
engineering, etc.

A three day workshop on MATLAB and Simulink was jointly organised, for the staffs
and students, by Department of Computer Science and Engineering and Department of
Electrical and Electronic Engineering of ATME College of Engineering, Mysore, from 25th
July, 2012 to 27th July, 2012. The workshop was conducted by Mr. Srinivas of Solipsys Labs,
Bangalore. It provided a platform to get exposed to the emerging technology which is being
widely used in almost every industry. Morning sessions were theoretical and forenoon
sessions were hands on sessions.


Compiled by
Sowmya M.
Lecturer,
Dept. of CS&E,
ATME, Mysore

Video data mining

Video data mining- An Overview

1. Introduction

It is the advancement in multimedia acquisition and storage technology that has led to a tremendous growth in multi- media databases. Multimedia mining deals with the extraction of  implicit knowledge, multimedia data relationships or other patterns not explicitly stored in the multimedia data. The management of multimedia data is one of the crucial tasks in the data mining owing to the non-structured nature of the multimedia data. The main challenge is to handle the multimedia data with a complex structure such as images, multimedia text, video and audio data.

Nowadays  people  have  accessibility to  a  tremendous amount of video both on television and internet. So, there is a great potential for video-based applications in many areas including security and surveillance, personal entertainment, medicine, sports, news video, educational programs and movies and so on. Video data contains several kinds of data such as video, audio and text. The video consists of a sequence of images with some temporal information. The audio consists of speech, music and various special sounds whereas the textual information represents its linguistic form.

The video content may be classified into three categories, namely .

 (i) Low-level feature information that includes features such as color, texture, shape
                   and so on,

(ii) Syntactic information that describes the contents of video, including salient
               objects, their spatial-temporal position and spatial- temporal relations between
                    them, and

(iii) semantic information, which describes what is happening in the video along
                with what is perceived by the users

2. Video data mining

It is video data mining that deals with the extraction of implicit knowledge, video data relationships, or other patterns not explicitly stored in the video databases considered as an extension of still image mining by including mining of temporal image sequences. It is a process which not only automatically extracts content and structure of video, features of moving objects, spatial or temporal correlations of those features, but also discovers patterns of video structure, object activities, video events from vast amounts of video data with a little assumption of their contents.

Video mining involves three main tasks . They are: (1) Video preprocessing with high quality video objects such as blocks of pixels, key frames, segments, scenes, moving objects and description text; (2) The extracting of the features and semantic information of video objects such as physical features, motion features, relation features and semantic descriptions of these features, and (3) Video patterns and knowledge discovery using video, audio and text features.

3. Key problems in video data mining

Video  data  mining  is  an  emerging  field that  can  be defined as the unsupervised discovery of patterns in audio visual contents. Mining video data is even more complicated than mining still image data requiring tools for discovering relationships between objects or segments within the video components, such as classifying video images based on their contents, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams. The existing data-mining tools pose various problems while applied to video database. They are:

(a) Data- base model problem in which video documents are generally unstructured in semantics and cannot be represented easily via the relational data model demanding a good video data- base model that is crucial to support more efficient video database management and mining .

(b) The retrieval results solely based on the low level feature extraction are mostly unsatisfactory and unpredictable. It is the semantic gap between the low level visual features and the high level user domain that happens to the one of the hurdles for the development of a video data-mining system.

 (c) Maintaining data integrity and security in video database management structure. These challenges have led to a lot of research and development in the area of video data mining. The main objective of video mining is to extract the significant objects, characters and scenes by determining their frequency of re-occurrence.

4.  Video data mining approaches

Recently,  there  has  been  a  trend  of  employing  various data-mining approaches  in exploring knowledge from the video database. Consequently, many video mining approaches have been proposed which can be roughly classified into five categories. They are: Video pattern mining, Video clustering and classification, Video association mining, Video content structure mining and Video motion mining.

4.1  Video structure mining

Since, video data is a kind of unstructured stream an efficient access to video is not an easy task. Therefore the main objective of the video structure mining is the identification of the content structure and patterns to carry out the fast random access of the video database.

As video structure represents the syntactic level composition of the video content, its basic structure  is represented as a hierarchical structure constituted by the video program, scene, shot and key-frame . Video structure mining is defined as the process of discovering the fundamental logic structure from the preprocessed video program adopting data-mining method such as classification, clustering and association rule.

4.2 Video clustering and classification

Video clustering and classification are used to cluster and classify video units into different categories. Therefore clustering is a significant unsupervised learning technique for the discovery of certain knowledge from a dataset. Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and  so  it  has  a  significant potential  in  video  indexing, surveillance, activity discovery and event recognition. In the video surveillance systems, it is to find the patterns and groups of moving objects that the clustering analysis is used. Clustering similar shots into one unit eliminates redundancy and as a result, produces a more concise video content summary.  Clustering algorithms are categorized into partitioning methods, hierarchical methods, density-based methods, grid based methods and model-based methods.

4.3 Video association mining

Video association mining is the process of discovering associations in a given video. The video knowledge is explored in a two stages, the first being the video content processing in which the video clip is segmented into certain analysis units extracting their representative features and the second being the video association mining that extracts the knowledge from the feature descriptors.  In video association mining, the video processing and the existing data-mining algorithms are seamlessly integrated into mine video knowledge.

4.4 Video motion mining

Motion is a key feature that essentially characterizes the contents of the video, representing the temporal information of videos and more objective and consistent compared to other features such as color, texture and so on. There have been some approaches to extract camera motion and motion activity in video sequences. While dealing with the problem of object tracking, algorithms are always proposed on the basis of known object region in the frames and so the most challenging problem in the visual information retrieval is the recognition and detection of the objects in the moving videos.

5. Video data mining applications

The fact that video data are used in many different areas such as sports, medicine, traffic and education programs, shows how significant it is. The potential applications of video mining include annotation, search, mining of traffic information, event detection / anomaly detection in a surveillance video, pattern or trend analysis and detection. There are four types of videos  in our daily life, namely, (a) produced video, (b) raw video, (c) medical video, and (d) broadcast or prerecorded video.

5.1 Produced video data mining

A produced video is meticulously produced according to a script or plan that is later edited, compiled and distributed for consumption. News videos, dramas, and movies are examples of the produced video with an extremely strong structure but has tremendous variation in production styles that vary from country to country or content-creator to content-creator.

5.2 Raw video data mining

There are two common types of surveillance video used in the real world applications such as the security video generally used for property or public areas and the monitoring video used to monitor the traffic flow. The surveillance systems with data-mining techniques are investigated to find out suspicious people capable of indulging in abnormal activities. However, the captured video data are commonly stored or previewed by operators to find abnormal moving objects or events. The identification of the patterns existing in surveillance applications, building the supervised models and the abnormal event detection are risky tasks.

5.3 Medical video mining

Audio and video processing is integrated to mine the medical event information such as dialog, presentation and clinical operation from the detected scenes in a medical video database.

5.4 Broadcast or prerecorded video mining

Broadcast video can be regarded as being made up of genre (set of video documents sharing similar style). The genre of a video is the broad class to which it may belong to e.g. sports, news and cartoon and so on. The content of broadcast video can be conceptually divided into two parts. First, the semantic content, the story line told by the video. This is split into genre, events and objects. Second, inherent properties of the digital media video termed as editing effects.

PutteGowda D,   

Asst. Professor,

 Dept. of CSE, 

ATME College of Engineering, Mysore