(CMSC5720-1) MSC projects 2015-6 by Prof K.H. Wong (21 July 2015) (shb907) MSC projects supervised by Prof.

Slides:



Advertisements
Similar presentations
Introduction To Computer and Information Technology.
Advertisements

Chapter 5 p. 6 What Is Input? What is input? p. 230 and 232 Fig. 5-1 Next  Input device is any hardware component used to enter data.
Page 1 SIXTH SENSE TECHNOLOGY Presented by: KIRTI AGGARWAL 2K7-MRCE-CS-035.
Richard Yu.  Present view of the world that is: Enhanced by computers Mix real and virtual sensory input  Most common AR is visual Mixed reality virtual.
Data Visualization STAT 890, STAT 442, CM 462
FYPs supervised by KH Wong1 Final Year projects FYPs Supervised by KH Wong CSE CUHK.
KHW projects v84 FYP titles 0809 Kh wong. KHW projects v84 KHW0801 Multi-camera vision alert system for the Government Flying Service search and rescue.
T175 Networked Living: Exploring Information and Communication Technologies First Meeting.
New Technologies Are Surfacing Everyday. l Some will have a dramatic affect on the business environment. l Others will totally change the way you live.
Artificial Intelligence
Introduction ‘Have you ever played video games before? Look at the joystick movement. When you move the joystick to the left, the plane on the TV screen.
Artificial Intelligence
Copyright R. Weber INFO 629 Concepts in Artificial Intelligence Fall 2004 Professor: Dr. Rosina Weber.
Notes for CS3310 Artificial Intelligence Part 1: Overview Prof. Neil C. Rowe Naval Postgraduate School Version of January 2009.
FYPs supervised by KH Wong1 FYP projects Supervisor : K.H. Wong See Projects under my webpage or
Input Devices.  Identify audio and video input devices  List the function of the respective devices.
Presentation by: K.G.P.Srikanth. CONTENTS  Introduction  Components  Working  Applications.
GOOGLE GLASS Contents:-  Introduction  Technologies used  How it works?  Advantages  Disadvantages  Future scope  Conclusion.
PLUG IT IN 5 Intelligent Systems. 1.Introduction to intelligent systems 2.Expert Systems 3.Neural Networks 4.Fuzzy Logic 5.Genetic Algorithms 6.Intelligent.
Final Year Student Projects: Prelude Michael R. Lyu.
(CMSC5720-1) MSC projects by Prof K.H. Wong (21 July2014) (shb907) MSC projects supervised by Prof.
Submitted by:- Vinay kr. Gupta Computer Sci. & Engg. 4 th year.
CSCE 5013 Computer Vision Fall 2011 Prof. John Gauch
Software and Hardware Interaction
MULTIMEDIA DEFINITION OF MULTIMEDIA
COMPUTER PARTS AND COMPONENTS INPUT DEVICES
Visual and Specialised Interfaces. 3D Software Developments have led to visual systems such as pictures of the earth’s structure and reproductions of.
Dan Rosenbaum Nir Muchtar Yoav Yosipovich Faculty member : Prof. Daniel LehmannIndustry Representative : Music Genome.
M404 Multimedia Elements Form 4.
Computer Science Department Pacific University Artificial Intelligence -- Computer Vision.
Overview of Part I, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong (6 weeks) Audio signal processing – Signals in time & frequency domains.
Specialized Input and Output. Inputting Sound ● The microphone is the most basic device for inputting sounds into a computer ● Microphones capture sounds.
1 Machine Learning 1.Where does machine learning fit in computer science? 2.What is machine learning? 3.Where can machine learning be applied? 4.Should.
I Robot.
Location-Aware Image Database Yung-Hsiang Lu Center for Wireless Systems and Applications (CWSA) School of Electrical and Computer Engineering.
Fundamentals of Information Systems, Third Edition1 The Knowledge Base Stores all relevant information, data, rules, cases, and relationships used by the.
1 CS145 Lecture 26 What’s next?. 2 What software questions do we study? Where is software headed?
AUGMENTED AND VISUAL REALITY. WHAT IS AUGMENTED AND VISUAL REALITY?
People who plan travelling should decide what things to take. A good decision will make a journey more pleasant and comfortable. So what to take for.
Course Overview  What is AI?  What are the Major Challenges?  What are the Main Techniques?  Where are we failing, and why?  Step back and look at.
Wearable Virtual Guide for Indoor Navigation. Introduction Assistance for indoor navigation using a wearable vision system Novel cognitive model for representing.
1 Andrew Ng, Associate Professor of Computer Science Robots and Brains.
Fundamentals of Information Systems, Third Edition 1 Information and Decision Support Systems: Management Information Systems Management information system.
Spring, 2005 CSE391 – Lecture 1 1 Introduction to Artificial Intelligence Martha Palmer CSE391 Spring, 2005.
Artificial Intelligence, simulation and modelling.
Multimedia. A medium (plural media) is something that a presenter can use for presentation of information Two basic ways to present information are: –Unimedium.
  Computer vision is a field that includes methods for acquiring,prcessing, analyzing, and understanding images and, in general, high-dimensional data.
FUNCTIONS OF THE COMPUTER.  A programmable machine that performs high-speed processing of numbers, as well as of text, graphics, symbols, and sound.
Topic 2 Input devices. Topic 2 Input devices Are used to get raw data into the computer so that it can be processed Include common input devices such.
What is Multimedia Anyway? David Millard and Paul Lewis.
FYP titles By Prof. KH Wong FYP v6.31.
Brief Intro to Machine Learning CS539
Course Outline (6 Weeks) for Professor K.H Wong
Electrical Engineering
Input devices.
To be supervised by Prof. KH Wong
Fundamentals of Information Systems
Department of Cybernetics
The design of smart glasses for VR applications The CU-GLASSES
MSC projects for for CMSC5720(term1), CMSC5721(term2)
Emerging Technologies By Nakai Nangati
CH. 1: Introduction 1.1 What is Machine Learning Example:
Input devices.
What is Pattern Recognition?
Basic Intro Tutorial on Machine Learning and Data Mining
To be supervised by Prof. KH Wong
MSC projects for for CMSC5720(term1), CMSC5721(term2)
Computer Literacy and Applications
Machine learning CS 229 / stats 229
Machine Learning.
Presentation transcript:

(CMSC5720-1) MSC projects by Prof K.H. Wong (21 July 2015) (shb907) MSC projects supervised by Prof. KH Wong ( ) 1

Title1: Virtual tourism Many people love to travel but cannot afford to do so for many reasons such as time, money or health. We propose to provide a virtual presence system for people to visit other countries without actually being there physically. First, the company providing the service can employ a tourist guide (for example visiting the pyramids in Egypt) to wear multiple cameras to capture pictures. The pictures are then sent to the tourist (receiver) who is wearing an immersive display device such as the Oculus ( or ) so the viewer can enjoy the scenery. The viewer can also issue instructions to the tourist guide to select the places that he/she particularly wants to visit. Souvenir shopping is also possible through the help of the guide by sending him electronic commands; the payment can be settled by credit cards. The system can also help people with disability to fulfil their dreams of visiting remote places, and the guide can also be replaced by a mobile robot in some situations such as the museum. Students of this project should develop programs in graphics to provide outputs to the virtual presence display (Oculus), and computer vision algorithms for merging views from multiple cameras. MSC projects supervised by Prof. KH Wong ( ) 2

Title2: Advertising billboard detection and recognition for wearable vision systems Wearable glasses (e.g. Google glass) are becoming popular and should inspire a new generation of computer vision applications. Here are some ideas: (i) Billboard recognition - - If the advertising billboards are detected and texts on billboards are recognized, it can help to locate the user in the map. The system can also translate the text to a language that one can understand in case he/she is a foreigner. (ii) Tourist Navigation: Using computer vision and GPS technology, the system can display information of the area, advertising materials to the user. The commercial potential is enormous. Reference: r4&feature=relatedhttp:// r4&feature=related MSC projects supervised by Prof. KH Wong ( ) 3

4

Title3: Machine learning research Machine learning methods such as Boosting and Deep neural network research are becoming very popular in artificial intelligence, and new and encouraging results have been produced in recently year. Students can study these methods and use them for applications such as face or object recognition, image or music database classification and search etc. Ref: google-is-investing-in-deep-learninghttp:// google-is-investing-in-deep-learning MSC projects supervised by Prof. KH Wong ( ) 5

Title4: Computer music research This project uses computers to analysis music signals and the results can be applied to various applications. For example: (i) Automatic classification of a music recording into different genres: jazz, pop or classical etc. (ii) Automatic karaoke: to generate the accompaniment piano (or orchestral) music when an instrumental player (e.g. violinist) is playing the solo part. (iii) Improve the flute playing robot we developed earlier. Ref: MSC projects supervised by Prof. KH Wong ( ) 6