International Journal of Multimedia, Image Processing and Pattern Recognition has been conceptualized for effective dissemination and promulgation of original research in all fields of Multimedia, Image Processing and Pattern Recognition. With a relentless pursuit of excellence, it aims at providing immaculate and superior research material, thus fostering the spirit of non-conformity, experimentation and de novo intellection among researchers in different parts of the world. IJMIPPR strives ardently to present inceptive, innovative and invaluable research developments, both application oriented and theoretical, in all possible domains of Multimedia, Image Processing and Pattern Recognition to a broad audience of academic researchers and industry practitioners in all major faculties - research and development, management, strategic planning, purchasing, design & styling, marketing, human resources etc. Ingeniousness and research impaction are the main parameters for evaluation of theoretical papers. Applications based on advanced theory and case studies aid in bridging the gap between theory and practice, and are particularly welcome. General approaches, formalisms, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of IJMIPPR is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields. Although there is no restriction on the length of contributions, brevity will always be preferred. Brief articles will merit attention depending on their technical proficiency. Discussions of previously published papers are also welcome. Focus & Scope The focus and scope International International Journal of Multimedia, Image Processing and Pattern Recognition has been categorized as follows: Multimedia & Image Processing: 3-D processing Biological/Medical Image Processing Coding and Transmission Colour Reproduction Combining Image-based and Virtual Content for Scene Rendering Computational Photography Crime Detection based on Multimedia Analysis Design and Construction Games Illumination, Sampling and Scanning Image Enhancement Image and Video Processing Hardware and Software Image Rendering and Quality Imaging Sensors and Acquisition Systems Implementations and Architectures Innovative Multimedia Systems or Devices Intelligent Multimedia Interface Intelligent e-Health based on Multimedia Analysis Internet/Mobile Multimedia Sharing Light Fields and Multiple-view Signal Processing Mobile Plenoptic Acquisition and Display Morphological Operations Motion Detection and Estimation Multimedia Communication Multimedia Content Security Multimedia Copyright Protection Multimedia Data Mining Multimedia Processing Multimedia Semantic Analysis Multimedia Content Understanding Multimedia Database Management Multispectral, Colour and Texture Processing New Plenoptic Display Approaches and Devices New Sensor Designs for Plenoptic Signal Acquisition Neural, Adaptive and Fuzzy Processing Object Detection and Tracking Omni-directional and Panoramic Signal Processing Processing and Analysis Quantization Retrieval and Multimedia Security and Privacy in Multimedia Social Networks Spatial and Temporal Plenoptic Sampling Stereo Imaging and Display Video and Image Sequence Processing Volumetric Methods Pattern Recognition: Audio and Speech Analysis Advanced Learning Methods Action Recognition Bayesian Models Bioinformatics and Systems Biology Biometrics Case-Based Reasoning Classification Clustering Computational Learning Theory and Optimization Deep Learning Document Analysis Embedding and Manifold Learning Ensemble Methods Economics, Business and Forecasting Applications Evolutionary Computation Exact and Approximate Inference Feature Selection and Extraction Fuzzy Logic Graphical and Graph-based Models Hybrid Learning Algorithms Information Retrieval Image Understanding Image-based Modelling Industry Related Applications ICA, PCA, CCA and other Linear Models Kernel Methods Knowledge Acquisition and Representation Learning from Multiple Sources/Methods Learning in Process Automation and Control Medical Imaging Motion and Tracking Matrix Factorization Missing Data Model Selection Neural Networks and Deep Learning Natural Language Processing Object Recognition/Tracking Robotics Regression Similarity and Distance Learning Sparsity Stochastic Methods Sensors and Early Vision Shape Representation Signal Processing Video Analysis Virtual Environments Web Applications