IMDA 2018: Intelligent Multimedia Data Analysis |
Website | http://teamsb.net/imda/ |
Submission link | https://easychair.org/conferences/?conf=imda2018 |
Abstract registration deadline | July 31, 2017 |
Submission deadline | September 15, 2017 |
Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. It differs with the media that employs text data or traditional forms of printed or hand-produced data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. The multidimensional data like, true color images which shows a wide variety of color content in the entire color gamut and the video data which includes elements of synchronization apart from the curse of dimensionality is not easy to handle and the classification of the these types of data is an important task as far as intelligent analysis of the true color image data and video content is pertained. Basically, multimedia data analysis used to handle feature extraction, image/video coding and transmission, image/video processing, image/video storage, retrieval, and authentication, video summarization, video indexing etc. With the limitation and shortcoming of classical platforms of computation, particularly for handling uncertainty and imprecision in the image/video data, intelligence as an alternative and extended computation paradigm has been coming as the new era of technology. Intelligence technology is mainly dependent on the soft computing paradigm which implies a synergistic integration of essentially four other computing paradigms, viz., neural networks, fuzzy logic, rough sets and evolutionary computation, incorporating probabilistic reasoning (belief networks, genetic algorithms and chaotic systems). Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. In spite of the several advantages of the soft computing techniques, many times soft computing tools and techniques are unable to provide a formidable solution to the problems. As a result, different types of hybridization of the soft computing techniques like, neuro-fuzzy, neuro-genetic, fuzzy-genetic, neuro-fuzzy-genetic, rough-fuzzy, etc. are proposed by the scientists to provide to more robust and failsafe solutions. Hybrid Soft Computing stems from the synergistic integration of the different soft computing tools and techniques. The fusion of these techniques towards achieving enhanced performance and more robust solutions can be achieved through proper hybridization. An intelligent machine inherits the boon of intelligence by virtue of the various methodologies offered by Soft Computing paradigm encompassing fuzzy and rough set theory, artificial neurocomputing, evolutionary computing, as well as approximate reasoning. At times situation demands in reality where any of the techniques listed above does not provide any comprehensible solution but an effective symbiosis of more than one of the above techniques offers a formidable solution. This gives rise to the advent to several hybrid methodologies. Of late, there is enormous growth of research exploration of injecting elements of intelligence using efficient hybrid techniques. All these initiatives indicate that the individual soft computing techniques do not behave in conflicting manner rather behaves complimentary to one another. In fact, recent reportings reveal the inherent strength of such hybridization of computation methods.
This book is intended to bring together researchers to report the latest progress in Intelligent Multimedia Data Analysis and its applications.
Submission Guidelines
Prospective authors are invited to submit a 3- 4 pages Abstract of the chapter along with title of the chapter and author details. Abstract should highlight the novelty and contribution of the proposed article. Authors need to submit this abstract using the Easy Chair submission link given below. Last date for Abstract submission is 30th June 2017. Once the Abstract (Chapter Proposal) is accepted then the full chapter need to be prepared using the LaTeX template given below, following the guidelines. All submissions should be done through Easy Chair submission link given below
1. Editing Guidelines: http://teamsb.net/imda/docs/inst.pdf
2. LaTeX templates: http://teamsb.net/imda/docs/dglatex.rar
3. EasyChair submission link: https://easychair.org/conferences/?conf=imda2018
List of Topics
PART 1: Foundations of multimedia information processing
Video and image fundamentals
Scenes
Shots
Frames
Hypermedia
Segmentation
PART 2: Image/video coding and transmission
Still-image and video coding
Stereoscopic and 3-D coding
Distributed source coding
Source/channel coding
Image/video transmission over wireless networks
PART 3: 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
PART 4: Image/video processing
Image and video filtering
Restoration and enhancement
Image segmentation
Video segmentation and tracking
Morphological processing
Stereoscopic and 3D processing
Feature extraction and analysis
Interpolation and super-resolution
Motion detection and estimation
Color and multispectral processing
Biometrics
Night vision image enhancement
Long range image enhancement
Vision enhancement through bad atmospheric conditions
Image up-sampling and super-resolution
Image enhancement through Occlusions for Automotive Rovers
Image inpainting
Geophysical and seismic image analysis and enhancement
Image enhancement for astronomy and space exploration
Image-quality assessment
Document image analysis and enhancement
Multi-core processor based parallel computing for image analysis and enhancement
Real time image analysis and image enhancement
Practical hardware systems for image enhancement and image analysis
Medical image analysis and visualization
PART 5: Image scanning, display, and printing
Scanning and sampling
Quantization and half toning
Color reproduction
Image representation and rendering
Display and printing systems
Image-quality assessment
PART 6: Image formation
Biomedical imaging
Remote sensing
Geophysical and seismic imaging
Optimal imaging
Synthetic-natural hybrid image systems
Image analysis for 3D scene reconstruction
PART 7: Image/video storage, retrieval, and authentication
Image and video databases
Image and video search and retrieval
Multimodality image/video indexing and retrieval
Authentication and watermarking
PART 8: Video indexing
Indexing on semantics
Video data mining
Video annotation
Video classification
PART 9: Video summarization
Keyframes
Extraction techniques
Keyframe selection
Static video summarization
Dynamic/real time video summarization
PART 10: Multimedia database
Higher dimensional data structures
QBIC
Content based video retrieval
PART 11: Multimedia data transmission
Intelligent protocols
Intrusion detection systems
Bandwidth optimization
PART 12: Applications
Multimedia content copyright protection
Plagiarism detection
Editors
Prof. (Dr.) Siddhartha Bhattacharyya
Dr. Indrajit Pan
Dr. Abhijit Das
Dr. Shibakali Gupta
Publication
The book will be published by DE GRUYTER, Germany.
Contact
All questions about submissions should be emailed to dr.siddhartha.bhattacharyya@gmail.com