2015 Third International Conference
on
Image Information Processing
(ICIIP -2015)
December 21 - 24, 2015
Jaypee University of Information Technology
Waknaghat, District Solan, Near Shimla, Himachal Pradesh, INDIA
Keynote Speakers
- Professor Shu-Ching Chen, Florida International University, Miami, USA.
Title :
 Multimedia Big Data: Challenges, Opportunities, and Applications
Abstract : The pervasiveness of mobile devices & consumer electronics and the popularity of Internet & social networks have generated huge amounts of multimedia information in various media types (such as text, image, video, and audio) shared among a large number of people. This creates the opportunities and intensifies the interest of the research community in developing methods to address multimedia big data challenges for real-world applications. Providing solutions to multimedia data such as images and videos brings about a higher level of difficulty at attempting to understand their semantic meaning. In this talk, I will discuss the challenges and research opportunities in multimedia big data, and introduce a coherent framework for multimedia big data management and retrieval, ranging from multimedia data processing to indexing, query, retrieval, and presentation. A set of core techniques, such as multimedia big data analysis, content-based image/video retrieval, and multimedia data mining, will be discussed in details and demonstrated using a prototype system. In addition, I will present the idea of applying these techniques to practical applications such as TV shopping and disaster information management.
Speaker : Professor Shu-Ching Chen,
Eminent Scholar Chaired Professor in Computer Science
Florida International University
School of Computing and Information Sciences
11200 SW 8th Street,
Miami, FL 33199, USA
Webpage : http://users.cis.fiu.edu/~chens/
-
Professor Nasser Kehtarnavaz, Dept. of Electrical Engineering, University of Texas, Dallas, USA
Title :
Real-Time Image Processing: From Research to Reality
Abstract : Out of a considerable number of image processing algorithms that are developed in research environments, only very few find their way into actual products. There are many reasons for this lack of transition to reality. One of the main reasons is the fact that image processing algorithms are often developed without considering the real-time constraints they need to meet if they are ever going to be deployed in image or video processing products. This talk provides an overview of the guidelines and strategies for transitioning image or video processing algorithms from research environments into real-time constrained products. More specifically, the following topics will be covered: (a) algorithmic simplification strategies, (b) hardware platforms for real-time implementation, and (c) software optimization techniques. Various examples from the literature will be presented to help with the understanding of the real-time strategies presented.
Smartphones as Implementation Platforms for Real-Time Signal & Image Processing
Abstract : Various hardware boards have been used for real-time implementation of signal and image processing algorithms. This talk discusses how smartphones can be used as an alternative to these boards for real-time implementation of signal and image processing algorithms. This alternative approach has been made possible due to the fact that mobile devices, in particular smartphones, have now become powerful processing platforms. This implementation approach provides a truly mobile environment or experience for running signal and image processing algorithms in real-time noting that smartphones are everywhere. In addition, it relieves the cost burden associated with using a dedicated hardware board with the consideration that the software development tools for smartphones are free of charge and are well-developed. After giving a description how smartphones can be used to implement signal and image processing algorithms that are written in C, two example apps will be presented. The first app shows how the blurred introduced by handshakes can be removed on smartphones while the second app indicates how exposure selection can be done automatically on smartphones to wards generating high dynamic images via smartphones.
Speaker : Professor Nasser Kehtarnavaz,
Department of Electrical Engineering,
University of Texas,
Dallas, USA
Webpage : http://www.utdallas.edu/~kehtar/
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Professor A G Ramakrishnan, MILE Laboratory, Professor & Chairman, Department of Electrical Engineering, Indian Institute of Science, Bangalore, India
Speaker : Professor A G Ramakrishnan,
MILE Laboratory,
Professor & Chairman,
Department of Electrical Engineering,
Indian Institute of Science,
Bangalore 560 012, India
Webpage : http://mile.ee.iisc.ernet.in/mile/People.html
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