| Description |
1 online resource : illustrations |
| Contents |
Intro; Foreword; Preface; Acknowledgements; Contents; Part I Data Analytics and Processing (Including Classification, Compression, Segmentation, Mining, Detection and Recognition etc.); Overview on Sequential Mining Algorithms and Their Extensions; 1 Introduction; 2 Important Terms and Notations; 3 Sequential Mining Algorithms; 3.1 Sequential Pattern Mining; 3.1.1 Frequent Sequential Pattern Mining; 3.1.2 Closed Sequential Pattern Mining; 3.1.3 Maximal Sequential Pattern Mining; 3.1.4 Compressing Sequential Pattern Mining; 3.1.5 Top-K Sequential Pattern Mining; 3.2 Sequential Rules Mining |
|
3.2.1 Sequential Rules3.2.2 Top-K Sequential Rules Mining; 3.2.3 Sequential Rules with Window Size Constraints; 3.2.4 Sequence Prediction; 4 Conclusion; 5 Discussion; References; Object Detection Based on CNNs: Current and Future Directions; 1 Introduction; 2 From Handcrafted Features to Deep CNNs Methods; 2.1 Handcrafted Features; 2.2 Deep Learning Approaches; 2.2.1 Region Proposal-Based Methods; 2.2.2 Proposal-Free Methods; 2.2.3 Fine-Tuning Strategy; 3 Current Research Directions; 3.1 Excellent Base Architectures; 3.2 Hard Example Mining; 3.3 Contextual Reasoning |
|
4 Open Problems and Future Directions4.1 Scale Invariance; 4.2 High Localization Accuracy; 4.3 Long-Tail Distribution; 5 Conclusion; References; Video Classification Methods: Multimodal Techniques; 1 Introduction; 2 Background; 3 Overview of Techniques; 3.1 Named Entity Recognition; 3.2 Audio Analysis; 3.3 Visual Analysis; 3.4 Combination-Based Approach; 4 Audio-Content-Based Classification Work; 4.1 Audio Event Detection; 4.2 Audio Violence Event Detection; 4.3 Audio Genre Detection; 4.4 Audio Scene Detection; 5 Audio Open Source Code Libraries; 6 Audio Datasets; 7 Proposed Approach |
|
8 Video Dataset9 System Design; 10 Conclusion; References; Proposed Multi-label Image Classification Method Based on Gabor Filter; 1 Introduction; 2 Problem Formulation; 3 Problem Solution; 3.1 Two-Dimensional Gabor Filter; 3.2 The Label Priority Power Set (LPP); 3.3 Framework MIML-LPPGABOR; 4 Experimental Results; 5 Conclusion; References; Vision-Based Approach for Real-Time Hand Detection and Gesture Recognition; 1 Introduction; 2 Real-Time Hand Detection; 2.1 Discussion; 3 The Proposed Approach; 3.1 Hand Detection Module; 3.1.1 Learning and Subtracting the Background |
|
3.1.2 Video Frame Color Correction3.1.3 Skin Color Extraction; 3.1.4 Morphological and AND Operations; 3.1.5 Find Three Biggest Contours; 3.1.6 Gesture Specification; 3.2 Gesture Recognition Module; 3.2.1 Features Extraction; 3.2.2 Gesture Recognition; 4 Experiments and Results; 4.1 Software and Hardware Requirements; 4.2 Skin Color Detection; 4.3 Impact of the Colors' Correction on the Skin Detection Algorithm Based on RGB Color Space; 4.4 Hand(s) Segmentation and Gesture Recognition; 4.5 2D Image Manipulation; 5 Conclusion; References |
| Summary |
This edited volume presents the best chapters presented during the international conference on computer and applications ICCA'17 which was held in Dubai, United Arab Emirates in September 2017. Selected chapters present new advances in digital information, communications and multimedia. Authors from different countries show and discuss their findings, propose new approaches, compare them with the existing ones and include recommendations. They address all applications of computing including (but not limited to) connected health, information security, assistive technology, edutainment and serious games, education, grid computing, transportation, social computing, natural language processing, knowledge extraction and reasoning, Arabic apps, image and pattern processing, virtual reality, cloud computing, haptics, information security, robotics, networks algorithms, web engineering, big data analytics, ontology, constraints satisfaction, cryptography and steganography, Fuzzy logic, soft computing, neural networks, artificial intelligence, biometry and bio-informatics, embedded systems, computer graphics, algorithms and optimization, Internet of things and smart cities. The book can be used by researchers and practitioners to discover the recent trends in computer applications. It opens a new horizon for research discovery works locally and internationally |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed November 30, 2018) |
| Subject |
Computer science -- Congresses
|
|
Information technology -- Congresses
|
|
Application software -- Congresses
|
|
Teaching skills & techniques.
|
|
Artificial intelligence.
|
|
Data mining.
|
|
Computer security.
|
|
Information retrieval.
|
|
Information technology: general issues.
|
|
COMPUTERS -- Computer Literacy.
|
|
COMPUTERS -- Computer Science.
|
|
COMPUTERS -- Data Processing.
|
|
COMPUTERS -- Hardware -- General.
|
|
COMPUTERS -- Information Technology.
|
|
COMPUTERS -- Machine Theory.
|
|
COMPUTERS -- Reference.
|
|
Application software
|
|
Computer science
|
|
Information technology
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Alja'am, Jihad Mohamad, editor
|
|
Saddik, Abdulmotaleb El, editor
|
|
Sadka, Abdul Hamid, editor
|
| ISBN |
9783319899145 |
|
3319899147 |
|
