CSE/ISE364 Advanced Multimedia
Instructor: Prof. Dimitris Samaras
Spring 2015: Tue-Thu 4-5:20 in 2205 Computer Science
This course will cover a broad range of topics related to current research in multimedia, especially with a focus on retrieval and access via the web. We will also include a module on multimodal interaction using the XBox Kinect. For each type of digital media studied we will discuss fundamentals as well as algorithms for organizing, retrieving, and manipulating media. Topics will include:
„ Text, Sound, Images, and Video
„ Tagging & Annotation
„ Social Media
„ Location Information
„ Interaction with the XBox Kinect
„ Recommendation systems
„ Multimedia Communications
This course will focus on developing a hands-on understanding of various types of multi-media. There will be 3 programming and/or written assignments related to the course topics. There will also be short in class quizzes approximately every other week. Students will also be responsible for defining and developing a project related to multi-media over the course of the semester, including a project proposal, status update, and final project presentation. A project write-up and presentation will serve as your final exam. HWs and Projects may be completed in pairs.
Students will be allowed 3 free homework late days of their choice over the semester. After those are used late homeworks will be accepted with a 10% reduction in value per day late. To accomodate for missed quizzes, students will be allowed to drop their lowest quiz grade.
Grading will consist of 35% assignments, 35% project, 20% quizzes, 10% participation. Weights are approximate and subject to change. You are expected to do homeworks by yourselves. Even if you discuss them with your classmates, you should turn in your own code and write-up. Final projects can be done by one or two people. Two people projects will be scaled accordingly.
You do not need to have taken CSE/ISE 334. However, students are expected to be proficient in programming and the basics of digital media. Come talk to me if you have any questions!
Recommended Books :
Multimedia Computing by Gerald Friedland and Ramesh Jain
Digital Multimedia by Nigel Chapman and Jenny Chapman
Computer Vision: Algorithms and Applications by Rick Szeliski (free online draft)
Other useful reference books:
Artificial Intelligence: A Modern Approach, Russel and Norvig.
Computer Vision: A Modern Approach, Forsyth and Ponce.
Foundations of Statistical Natural Language Processing, Christopher D. Manning, and Hinrich Schutze.
Class notes and a collection of additional readings from journals and conference proceedings will be available through Blackboard.
Don't cheat. Cheating on anything will be dealt with as academic misconduct and handled accordingly. I won't spend a lot of time trying to decide if you actually cheated. If I think cheating might have occurred, then evidence will be forwarded to the University's Academic Misconduct Committee and they will decide. If cheating has occurred, an F grade will be awarded. Discussion of assignments is acceptable, but you must do your own work. Near duplicate assignments will be considered cheating unless the assignment was restrictive enough to justify such similarities in independent work. Just think of it that way: Cheating impedes learning and having fun. The labs are meant to give you an opportunity to really understand the class material. If you don't do the lab yourself, you are likely to fail the exams. Please also note that opportunity makes thieves: It is your responsibility to protect your work and to ensure that it is not turned in by anyone else. No excuses! The University has a relevant policy:
ŅEach student must pursue his or her academic goals honestly and be personally accountable for all submitted work. Representing another person's work as your own is always wrong. Any suspected instance academic dishonesty will be reported to the Academic Judiciary. For more comprehensive information on academic integrity, including categories of academic dishonesty, please refer to the academic judiciary website: http://www.stonybrook.edu/uaa/academicjudiciary/
If you have a physical, psychological, medical or learning disability that may impact on your ability to carry out assigned course work, I would urge that you contact the staff in the Disabled Student Services office (DSS), Room 133 Humanities, 632-6748/TDD. DSS will review your concerns and determine, with you, what accommodations are necessary and appropriate. All information and documentation of disability is confidential.
D. Samaras, Tel. 631-632-8464
Office Hours: Tue., 2 pm to 3.30pm Fri 1pm to 3:30pm, or by appointment
Computer Science room 2429