Music Information Retrieval by Dr. Sertan Şentürk

This Wednesday, Dr. Sertan Şentürk (soon to join the R&D team in Kobalt music) is going to give a seminar titled “What is Music Information Retrieval? Applications and the State-of-the-Art” for Multimedia Informatics - Research Methods (MMI 700) course. You are all kindly invited.

Location: Conference Room (124), METU Informatics Institute
Time: December 20, 2017, 11:30-12:30

Abstract: What is Music Information Retrieval? Applications and the State-of-the-Art

Music, without a doubt, is one of the pinnacles of human creativity, communication and culture. With the digital media revolution and the rise of music streaming services, there has recently been a growing interest and a high demand to process large-scale musical material such as audio recordings, music scores and album reviews. In this talk, I will provide a gentle introduction to music information retrieval (MIR), an interdisciplinary field which “incorporates elements from signal processing, machine learning, psychology, musicology, and many more” to retrieve relevant information from music. From recommendation systems to automatic music generation, I will present a wide variety of examples involving MIR and discuss how such technologies are being used in academic and industrial settings, for example in music streaming, computational musicology and music education.

I am a data scientist, specializing in music information retrieval, soon to join the R&D team in Kobalt music. My research involves developing signal processing and machine learning based computational methodologies to automatically describe and discover music. Throughout the years, I have worked on creating robust and scalable solutions for a vast number of tasks such as audio-score alignment, automatic genre/mode classification, music structure analysis, and audio fingerprinting.

In February 2017, I obtained my Ph.D. degree in Information and Communication Technologies from the Music Technology Group in Universitat Pompeu Fabra, Spain. I received my MSc. degree in Music Technology from Georgia Institute of Technology, the USA in 2011, and my BSc. degree in Electrical and Electronics Engineering from Middle East Technical University, Turkey in 2009. I have also completed a four-year, part-time classical guitar program from Hacettepe University Ankara State Conservatory in 2009.

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Exploring Temporal Dynamics of Facial Behavior by Asst. Prof. Hamdi Dibeklioglu

Asst. Prof. Hamdi Dibeklioglu (Bilkent University) is going to give a seminar titled “Exploring Temporal Dynamics of Facial Behavior” for Multimedia Informatics - Research Methods (MMI 700) course.

You are all kindly invited.

Location: Conference Room (124), METU Informatics Institute
Time: November 15, 2017, 11:30-12:30

Title: Exploring Temporal Dynamics of Facial Behavior

Abstract: While the majority of earlier studies in face analysis rely solely on static appearance, temporal analysis of expressions reveals interesting patterns. By exploiting temporal patterns, the current state of automatic face analysis goes far beyond recognizing basic expressions and identity. Our recent findings show that the use of temporal dynamics of expressions can benefit a large variety of tasks from assessing mental health to the estimation of taste appreciation and the verification of kin relations. In this talk, I will discuss how we can capture and model discriminative temporal characteristics of expressions, leading to a more reliable analysis of facial behavior.

Short bio: Hamdi Dibeklioglu is an Assistant Professor in the Computer Engineering Department of Bilkent University as well as being a Research Affiliate with the Pattern Recognition & Bioinformatics Group of Delft University of Technology and with the Computer Vision Group of the University of Amsterdam. He received the B.Sc. degree from Yeditepe University in 2006, the M.Sc. degree from Bogazici University in 2008, and the Ph.D. degree from the University of Amsterdam in 2014. Before joining Bilkent University, he was a Postdoctoral Researcher at Delft University of Technology, a Visiting Researcher at Carnegie Mellon University, University of Pittsburgh, and Massachusetts Institute of Technology. His research focuses on affective computing, computer vision, and pattern recognition. Dr. Dibeklioglu is a Program Committee Member for several top tier conferences in these areas. He was a Co-chair for the Netherlands Conference on Computer Vision 2015, and a Local Arrangements Co-chair for the European Conference on Computer Vision 2016. He served on the Local Organization Committee of the eNTERFACE Workshop on Multimodal Interfaces, in 2007 and 2010.

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Adaptive Control of Behaviour: Complex Supervision or Simple Retrieval?

Abstract: Cognitive control is the ability to adjust behaviour to meet task demands under a changing context. Incoming information is suppressed or processed in light of the current goal and the environment. There is an ongoing debate on whether the adaptive control of behaviour is governed by a supervisory mechanism or by retrieval of past events. I will describe our studies and discuss implications to resolving this debate.

Speaker: Dr. Nart Bedin Atalay -- Department of Psychology, TOBB University of Economics and Technology

Date/Time: Friday 5 May 2017, 12:40

Place: METU Graduate School of Informatics,  S0

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A Shallow Introduction to Deep Learning by Sinan Kalkan

Abstract: Thanks to advances in computing technologies, availability of large amounts of data, and the discovery of new training techniques, deep learning has led to performance boost in many challenging problems across different domains. In this talk, I will make a very brief introduction to deep learning, focusing mainly on its properties, why it works and how it works.

Short bio: Sinan Kalkan received the M.Sc. degree in computer engineering from Middle East Technical University, Ankara, Turkey, in 2003, and the Ph.D. degree in informatics from the University of Göttingen, Göttingen, Germany, in 2008. He joined the Department of Computer Engineering at METU after his PhD. Sinan Kalkan’s research interests include computer vision, cognitive robotics and deep learning.

Location: Conference Room (124), METU Informatics Institute
Time: May 5, 2017, 12:40-13:30

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Talk on Image & Video Compression by Prof. Gözde Bozdağı Akar

This Friday, Prof. Gözde Bozdağı Akar is going to give a seminar on image and video compression for GATE 590 Graduate Seminar course. You are all kindly invited.
Bio: Gözde B. Akar received the B.Sc. degree from Middle East Technical University, Ankara, Turkey, in 1988 and the M.Sc. and Ph.D. degrees from Bilkent University, Ankara, Turkey, in 1990 and 1994, respectively, all in electrical and electronics engineering. She was with the University of Rochester, Rochester, NY, Center of Electronic Imaging Systems as a Visiting Research Associate from 1994 to 1996. From 1996 to 1998, she worked as a Member of Research and Technical Staff at Xerox Corporation Digital Imaging Technology Center, Rochester. From 1998 to 1999, she was with Baskent University, Department of Electrical and Electronics Engineering. During the summer of 1999, she worked as a Visiting Researcher at the Multimedia Laboratories, New Jersey Institute of Technology. Currently, she is a Professor with the Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey. Her research interests are in 2-D and 3-D video compression, single/multi-frame superresolution, radar signal processing.
Abstract: Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network and stored on computer disks. With efficient compression techniques, a significant reduction in file size can be achieved with little or no adverse effect on the visual quality. The video quality, however, can be affected if the file size is further lowered by raising the compression level for a given compression technique. The same arguments are also valid for image compression. In this talk, I will introduce the basic steps in video coding, algorithms used to measure quality and where the image/ video compression community is heading.
Location: Conference Room (124), METU Informatics Institute
Time: 21 April 2017, 12:40-13:40

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