Note: Title -- Contents -- Part I Intelligent Image Processing -- Advances in Reasoning-Based Image Processing and Pattern Recognition -- Introduction -- Performance Analysis and Comparison of the Dirac Video Codec with H.264/ MPEG-4, Part 10 -- Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications -- Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework -- Image Processing in Medicine -- Attention in Image Sequences: Biology, Computational Models, and Applications -- Visual Perception for Mobile Robots Motion Control -- Motion Estimation for Object Analysis and Detection in Videos -- Shape-Based Invariant Features Extraction for Object Recognition -- Object-Based Image Retrieval System Using Rough Set Approach -- Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Gamma Band Detection -- Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis -- On Creativity and Intelligence in Computational Systems -- Method for Intelligent Representation of Research Activities of an Organization over Taxonomy of Its Field -- Performance Analysis and Comparison of the Dirac Video Codec with H.264/MPEG-4, Part 10 -- Introduction -- Dirac Architecture -- Dirac Encoder [1] [21] -- Dirac Decoder [1] [21] -- Stages of Encoding and Decoding in Dirac -- Wavelet Transform -- Scaling and Quantization -- Entropy Coding -- Motion Estimation -- Motion Compensation -- Decoder -- Implementation -- Code Structure Overview -- Simplicity and Relative Speed of Encoding -- Results -- Compression Ratio Test -- SSIM Test -- PSNR Test -- Conclusions -- Future Research -- References -- Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications -- Basic Methods for Pyramidal Image Decomposition. , Basic Principles of the Inverse Pyramid Decomposition -- Inverse Pyramid Decomposition with Orthogonal Transforms -- Comparison of the Inverse and the Laplacian Pyramid Decompositions -- Reduced Inverse Pyramid Decomposition -- Inverse Pyramid Decomposition with Non-linear Transforms Based on Neural Networks -- Multi-view Image Representation Based on the Inverse Pyramidal Decomposition -- Multi-view 3D Object Representation with Modified IPD -- Experimental Results -- Multispectral Images Representation with Modified IPD -- Selection of the Reference Image in Multispectral Sequence -- Experimental Results -- Conclusions -- References -- Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework -- Introduction -- How to Protect Content in an Image? -- Cryptography -- Data Hiding and Image Coding -- Secure Transmission of Encoded Bitstreams -- Error Resilience and Channel Coding -- IP Packets Securization Processes -- LTE Standard Application Case: Securization Process for Advanced Functionalities -- Application Example: LAR Medical Framework -- LAR Codec Overview -- Principles and Properties -- Content Protection Features -- Transmission Error Protection - Error Resilience -- Conclusion -- References -- Image Processing in Medicine -- Introduction -- Overview of Medical Imaging -- Imaging Modality -- Image Reconstruction -- Image Format -- Diagnostic Practice Using Medical Images -- Conventional Approaches of Image Processing -- Image Segmentation -- Image Registration -- Visualization -- Application -- CAD, CAS and Virtual Endoscopy -- Image-Guided Navigation for Paranasal Sinus Surgery -- Summary -- References -- Attention in Image Sequences: Biology, Computational Models, and Applications -- Introduction -- Computational Models of Visual Attention -- A Taxonomy of Computational Model of Bottom-Up Visual Attention. , Hybrid Computational Models of Visual Attention -- Selected Datasets -- LABELME -- Amsterdam Library of Object Images (ALOI) -- Spatially Independent, Variable Area, and Lighting (SIVAL) -- MSRA -- Caltech -- PASCAL VOC -- Software Implementations of Attention Modeling -- Itti-Koch Model -- Matlab Implementations -- TarzaNN -- Model Proposed by Matei Mancas -- JAMF -- LabVIEW -- Attention Models Evaluation and Top-Down Models -- Applications -- Example -- References -- Part II Pattern Recognition, Image DataMining and Intelligent Systems -- Visual Mobile Robots Perception for Motion Control -- The Principles and Basic Model of Mobile Robot Visual Perception -- Log-Polar Visual Mobile Robot Perception Principles and Properties -- Definition of Log-Polar Transformation for Mobile Robot Visual Perception -- Log-Polar Transformation of Image Points in Visual Mobile Robot Perception System -- The Properties of Log-Polar Transformation Suitable for Visual Mobiles Robot Perception System -- Visual Perception of Objects Rotation in Log-Polar Mobile Robot Visual Perception Systems -- Visual Perception of Objects Translation and Scaling in Log-Polar Mobile Robot Visual Perception Systems -- Algorithm for Motion Control with Log-Polar Visual Mobile Robot Perception -- The Basic Principles and Steps of the Algorithm for Motion Control with Log-Polar Visual Mobile Robot Perception -- Simulation and Test Results for the Algorithm of Motion Control with Log-Polar Visual Mobile Robot Perception -- Conclusion -- References -- Motion Estimation for Objects Analysis and Detection in Videos -- Introduction -- Classification of Motion Estimation Methods -- Comparative Motion Estimation Methods -- Gradient Motion Estimation Methods -- Local Motion Estimation Based on Tensor Approach -- The Initiation Stage -- Motion Estimation in Visual Imagery. , Motion Estimation in Infrared Imagery -- Elaboration of Boundaries of Moving Regions -- Classification of Dynamic Regions -- Experimental Researches -- Tasks for Self-testing -- Conclusion -- References -- Shape-Based Invariant Feature Extraction for Object Recognition -- Introduction -- One-Dimensional Function for Shape Representation -- Complex Coordinates -- Centroid Distance Function -- Tangent Angle -- Contour Curvature -- Area Function -- Triangle-Area Representation -- Chord Length Function -- Discussions -- Polygonal Approximation -- Merging Methods -- Splitting Methods -- Discussions -- Spatial Interrelation Feature -- Adaptive Grid Resolution -- Bounding Box -- Convex Hull -- Chain Code -- Smooth Curve Decomposition -- Symbolic Representation Based on the Axis of Least Inertia -- Beam Angle Statistics -- Shape Matrix -- Shape Context -- Chord Distribution -- Shock Graphs -- Discussions -- Moments -- Boundary Moments -- Region Moments -- Discussions -- Scale Space Approaches -- Curvature Scale-Space -- Intersection Points Map -- Discussions -- Shape Transform Domains -- Fourier Descriptors -- Wavelet Transform -- Angular Radial Transformation -- Shape Signature Harmonic Embedding -- R-Transform -- Shapelet Descriptor -- Discussions -- Summary Table -- Illustrative Example: A Contour-Based Shape Descriptor -- Fundamental Concepts -- Equal Area Normalization -- Normalized Part Area Vector -- Experimental Results -- Conclusion -- References -- Object-Based Image Retrieval System Using Rough Set Approach -- Introduction -- Basic Concepts -- Rough Sets: Short Description -- Rough Image Processing -- Image Retrieval Systems: Problem Definition and Categories -- Object-Based Image Retrieval System -- Pre-processing: Segmentation and Feature Extraction -- Similarity and Retrieval System -- Experimental Results and Discussion -- Conclusion. , References -- Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Beta Bands Detection -- Introduction -- Background -- The Main Artificial Neural Cells -- Paraconsistent Artificial Neural Cell of Analytic Connection - PANCac -- Paraconsistent Artificial Neural Cell of Maximization- PANCmax -- Paraconsistent Artificial Neural Cell of Minimization- PANCmin -- Paraconsistent Artificial Neural Unit -- Paraconsistent Artificial Neural System -- PANN for Morphological Analysis -- Data Preparation -- The PANN Architecture -- Expert System 1 - Checking the Number of Wave Peaks -- Expert System 2 - Checking Similar Points -- Expert System 3 - Checking Different Points -- A Didactic Sample -- Experimental Procedures - Attention-Deficit / Hyperactivity Disorder -- Experimental Procedures - Applying in Alzheimer Disease -- Expert System 1 - Detecting the Diminishing Average Frequency Level -- Expert System 2 - High Frequency Band Concentration -- Expert System 3 - Low Frequency Band Concentration -- Results -- Discussion -- Conclusions -- References -- Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis -- Introduction -- Background -- The Paraconsistent Artificial Neural Cells - PANC -- The Paraconsistent Artificial Neural Cell of Learning - PANC-L -- Unlearning of a PANC-l -- Using PANN in Speech Production Recognition -- Practical Results -- Cephalometric Variables -- Architecture of the Paraconsistent Artificial Neural Network -- Results -- Discussion -- Conclusions -- References -- On Creativity and Intelligence in Computational Systems -- Introduction -- On the Use of Ray Tracing for Visual Recognition -- Case Generalization for Ray Tracing -- The Case Generalization for Ray Tracing Algorithm -- On Unmanned Autonomous Vehicles (UAVs) -- Overview. , Alternate Approaches.