Special Session on Intelligent Multimedia Data Analysis

Multimedia content classification is an important task in the computer vision community as far as intelligent analysis of multimedia content is concerned. Typical applications include video content mining, video indexing, video surveillance and defense applications. Video content classification primarily entails the detection of the cuts in the video sequences. Computationally intelligent techniques ascertain video shot boundaries by using the inherent information distribution of the video content. Hence, larger video frames/sequences obviously require a lot of computational overhead. Here, dynamic estimation of the data distribution is a prerequisite.

In addition, image feature detectors in video summarization techniques using Scale Invariant Feature Transform (SIFT), Speeded Up Robust Feature (SURF), and Features from  Accelerated Segment Test (FAST) are also challenging propositions. Add to that indexing of video based on semantics is also a much talked about the topic. 

Original contributions previously unpublished are solicited in relevant areas including (but not limited to) the following topics:

  • Intelligent Tools and Techniques for Multimedia Information Analysis:Fuzzy Sets, Rough Sets, Neural Networks, Vague Sets, Hybrid intelligent techniques
  • Foundations of Multimedia Information Processing:Video fundamentals; scenes; shots; frames; hypermedia; segmentation
  • Feature extraction: Motion estimation; shot boundary detection; hard cut detection; fading detection; dissolve detection; color analysis; dynamic content gesture analysis; audio-visual analysis; speech transcript; object recognition
  • Video summarization: Keyframes; extraction techniques; keyframe selection; static video summarization; dynamic/real time video summarization
  • Video indexing:Indexing on semantics; video data mining; video annotation; video classification
  • Multimedia database:Higher dimensional data structures; QBIC; content based video retrieval
  • Multimedia data transmission:Intelligent protocols; intrusion detection systems; bandwidth optimization
  • Applications:Multimedia content copyright protection; plagiarism detection 

Authors should submit their papers online using EDAS. Unregistered authors should first create an account on EDAS to log on. Further guidelines for submission are posted at: http://icacci-conference.org/web/call-for-papers. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

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Special Session Organisers

Dr. Siddhartha Bhattacharyya
Department of Information Technology
RCC Institute of Information Technology
Canal South Road, Beliaghata,
Kolkata 700 015
dr.siddhartha.bhattacharyya@gmail.com

Dr. Anirban Mukherjee
Department of Information Technology
RCC Institute of Information Technology
Canal South Road, Beliaghata,
Kolkata 700 015
anirbanm.rcciit@gmail.com

Prof. (Dr.) Paramartha Dutta
Department of Computer and System Sciences
Visva-Bharati University
Santiniketan 721 325
paramartha.dutta@gmail.com

Key Dates

 Paper Submission Ends May 11, 2015 (Firm)
 Acceptance Notification May 25, 2015
 Final Paper Deadline June 25, 2015

Organized by

Technical Co-sponsors

IEEE Logo IEEE ComSoc   INNS India ACM Trivandrum Chapter 

Sponsors
ACM Trivandrum Chapter