Proceedings of International Conference on Computer Vision and Image Processing

Fusion Using Block-sum and Minutiae Techniques.- Chapter 21. Video Synopsis for IR Imagery Considering Video as a 3D Data Cuboid.- Chapter 22. Performance Analysis of Texture Image Retrieval in Curvelet, Contourlet and Local Ternary Pattern Using DNN and ELM Classifiers for MRI Brain Tumor Images.- Chapter 23. ROI Segmentation from Brain MR Images with a Fast Multi-Level Thresholding.- Chapter 24. Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised.- Chapter 25. Classification of Object Trajectories Represented by High-level Features using Unsupervised Learning.- Chapter 26. A Hybrid Method for Image Categorization Using Shape Descriptors and Histogram of Oriented Gradients.- Chapter 27. Local Binary Pattern and Its Variants for Target Recognition in Infrared Imagery.- Chapter 28. Applicability of Self Organizing Maps in Content Based Image Classification.- Chapter 29. Road Surface Classification Using Texture Synthesis Based on Grey-Level Co-occurrence Matrix.- Chapter 30. Electroencephalography Based Emotion Recognition Using Gray Level Co-occurrence Matrix Features.- Chapter 31. Quick Reaction Target Acquisition and Tracking System.- Chapter 32. Low-complexity Non-rigid Image Registration Using Feature-based Diffeomorphic Log-Demons.- Chapter 33. Spotting of Keyword Directly in Run-length Compressed Documents.- Chapter 34. Design and Implementation of a Real Time Auto Focus Algorithm for Thermal Imagers.- Chapter 35. Parameter Free Clustering Approach for Event Summarization in Videos.- Chapter 36. Connected Operators for Non-text Object Segmentation in Grayscale Document Images.- Chapter 37. Non-Regularized State Preserving Extreme Learning Machine for Natural Scene Classification.- Chapter 38. A Local Correlation and Directive Contrast Based Image Fusion.- Chapter 39. Multi-exposure Image Fusion UsingPropagated Image Filtering.- Chapter 40. Tone Mapping HDR Images Using Local Texture and Brightness Measures.- Chapter 41. Pre and Post Fingerprint Skeleton Enhancement for Minutiae Extraction.- Chapter 42. Content Aware Image Size Reduction Using Low Energy Maps for Reduced Distortion.- Chapter 43. Artificial Immune Hybrid Photo Album Classifier.- Chapter 44. Crowd Disaster Avoidance System (CDAS) by Deep Learning Using eXtended Center Symmetric Local Binary Pattern (XCS-LBP) Texture Features.- Chapter 45. A Novel Visualization and Tracking Framework for Analyzing the Inter/Intra Cloud Pattern Formation to Study their Impact on Climate.- Chapter 46. Cancelable Biometric Template Security Using Segment-Based Visual Cryptography.- Chapter 47. PCB Defect Classification Using Logical Combination of Segmented Copper and Non-Copper Part.- Chapter 48. Gait Recognition Based Human Identification and Gender Classification.- Chapter 49. A Novel Approach to Corner Detection Using Random Forests.- Chapter 50. Symbolic Representation and Classification of Logos.- Chapter 51. A Hybrid Method Based CT Image Denoising using Non-subsampled Contourlet and Curvelet Transforms.- Chapter 52. Using Musical Beats to Segment Videos of Bharatanatyam Adavu's.- Chapter 53. Parallel Implementation of RSA 2D-DCT Steganography and Chaotic 2D-DCT Steganography.- Chapter 54. Thermal Face Recognition Using Face Localized Scale Invariant Feature Transform.- Chapter 55. Integrating Geometric and Textural Features for Facial Emotion Classification Using SVM Frameworks.- Chapter 56. Fast Non-blind Image De-blurring with Sparse Priors.

papers in various international journals and reputed conferences. He has completed a couple of sponsored research projects.

Partha Pratim Roy received his PhD degree in Computer Science  in 2010 from Universitat Autònoma de Barcelona, Spain. He worked as postdoctoral research fellow in the Computer Science Laboratory (LI, RFAI group), France and in Synchromedia Lab, Canada. He also worked as Visiting Scientist at Indian Statistical Institute, Kolkata, India in 2012 and 2014. Presently, Dr. Roy is working as Assistant Professor at Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Roorkee. His main research area is Pattern Recognition. He has published more than 60 research papers in various international journals, conference proceedings. Dr. Roy has participated in several national and international projects funded by the Spanish and French government. In  2009, he won the best student paper award in International Conferenceon Document Analysis and Recognition (ICDAR). He has gathered industrial experience while working as an Assistant System Engineer in TATA Consultancy Services (India) from 2003 to 2005 and as Chief Engineer in Samsung, Noida from 2013 to 2014.



Debashis Sen is an Assistant Professor at the Department of Electronics and Electrical Communication Engineering in Indian Institute of Technology (IIT) Kharagpur. Earlier, from September 2014 to May 2015, he was an Assistant Professor at the Department of Computer Science and Engineering in Indian Institute of Technology (IIT) Roorkee. Before joining Indian Institute of Technology, he had worked as a post-doctoral research fellow at School of Computing, National University of Singapore for about 3 years. He received his PhD degree from the faculty of engineering, Jadavpur University, Kolkata, India in 2011 and his M.A.Sc. degree from the Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada