Studies in Computational Intelligence 672 Huimin Lu Yujie Li Editors Artificial Intelligence and Computer Vision Studies in Computational Intelligence Volume 672 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] About this Series The series “Studies in Computational Intelligence” (SCI) publishes new develop- mentsandadvancesinthevariousareasofcomputationalintelligence—quicklyand with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the worldwide distribution, which enable both wide and rapid dissemination of research output. More information about this series at http://www.springer.com/series/7092 ⋅ Huimin Lu Yujie Li Editors fi Arti cial Intelligence and Computer Vision 123 Editors Huimin Lu YujieLi Department ofElectrical Engineering Schoolof Information Engineering andElectronics YangzhouUniversity Kyushu Institute of Technology Yangzhou Fukuoka China Japan ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN978-3-319-46244-8 ISBN978-3-319-46245-5 (eBook) DOI 10.1007/978-3-319-46245-5 LibraryofCongressControlNumber:2016952507 ©SpringerInternationalPublishingSwitzerland2017 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor foranyerrorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface The integration of artificial intelligence and computer vision technologies has become a topic of increasing interest for both researchers and developers from academicfieldsandindustriesworldwide.Itisforeseeablethatartificialintelligence will be the main approach of the next generation of computer vision research. The explosivenumberofartificialintelligencealgorithmsandincreasingcomputational power of computers have significantly extended the number of potential applica- tions for computer vision. It has also brought new challenges to the vision community. The aim of this book is to provide a platform to share up-to-date scientificachievementsinthisfield.Thepaperswerechosenbasedonreviewscores submitted by the members of the program committee and underwent further rig- orous rounds of review. In Computer Vision for Ocean Observing, Huimin Lu, Yujie Li and Seiichi Serikawa present the application of computer vision technologies for ocean observing. This chapter also analyzes the recent trends of ocean exploration approaches. In Fault Diagnosis and Classification of Mine Motor Based on RS and SVM, XianminMa,XingZhangandZhansheYangproposeafaultdiagnosismethodfor theminehoistmachinefaultdiversityandredundancyoffaultdatabasedonrough sets and support vector machine. In Particle Swarm Optimization Based Image Enhancement of Visual Cryptography Shares, Mary Shanthi Rani M. and Germine Mary G. propose a particle swarm optimization based image enhancement of visual cryptography shares. The proposed algorithm guarantees highly safe, secure, quick and quality transmission of secret image with no mathematical operation needed to reveal the secret. In Fast Level Set Algorithm for Extraction and Evaluation of Weld Defects in RadiographicImages,BouticheY.proposesafastlevelsetalgorithmforextraction andevaluationofwelddefectsinradiographicimages.Thesegmentationisassured usingapowerfulimplicitactivecontourimplementedviafastalgorithm.Thecurve is represented implicitly via binary level set function. Weld defect features are computed from the segmentation result. v vi Preface In Efficient Combination of Color, Texture and Shape Descriptor, Using SLIC Segmentation for Image Retrieval, N. Chifa, A. Badri, Y. Ruichek, A. Sahel and K. Safi present a novel method of extraction and combination descriptor to repre- sent image. First we extract a descriptor shape (HOG) from entire image, and second we apply the proposed method for segmentation, and then we extract the color and texture descriptor from each segment. In DEPO: Detecting Events of Public Opinion in Microblog, Guozhong Dong, Wu Yang and Wei Wang propose DEPO, a system for detecting events of public opinioninmicroblog.InDEPO,abnormalmessagesdetectionalgorithm isusedto detect abnormal messages in the real-time microblog message stream. Combined with events of public opinion (EPO) features, each abnormal message can be formalizedasEPOfeaturesusingmicroblog-orientedkeywordsextractionmethod. In Hybrid Cuckoo Search Based Evolutionary Vector Quantization for Image Compression, Karri Chhiranjeevi and Uma Ranjan Jena propose a hybrid cuckoo search (HCS) algorithm that optimizes the LBG codebook with less convergence time by taking McCulloch’s algorithm based levy flight distribution function and variant of searching parameters. InEdgeandFuzzyTransformBasedImageCompressionAlgorithm:edgeFuzzy , Deepak Gambhir and Navin Rajpal propose an edge-based image compression algorithm in fuzzy transform (F-transform) domain. Input image blocks are clas- sified either as low-intensity blocks, medium-intensity blocks or high-intensity blocks depending on the edge image obtained using the Canny edge detection algorithm. Based on the intensity values, these blocks are compressed using F-transform. Huffman coding is then performed on compressed blocks to achieve reduced bit rate. In Real-Time Implementation of Human Action Recognition System Based on Motion Analysis, Kamal Sehairi, Cherrad Benbouchama, Kobzili El Houari, and Chouireb Fatima propose a pixel streams-based FPGA implementation of a real-time system that can detect and recognize human activity using Handel-C. In Cross-Modal Learning with Images, Texts and Their Semantics, Xing Xu proposes a novel model for cross-modal retrieval problem. The results well demonstrate the effectiveness and reasonableness of the proposed method. In Light Field Vision for Artificial Intelligence, Yichao Xu and Miu-ling Lam review the recent process in light field vision. The newly developed light field vision technique shows a big advantage over conventional computer vision techniques. It isour sincere hope that this volume provides stimulation and inspiration, and that it will be used as a foundation for works to come. Fukuoka, Japan Huimin Lu Yangzhou, China Yujie Li August 2016 Contents Computer Vision for Ocean Observing.. .... .... .... .... ..... .... 1 Huimin Lu, Yujie Li and Seiichi Serikawa Fault Diagnosis and Classification of Mine Motor Based on RS and SVM.. .... ..... .... .... .... .... .... ..... .... 17 Xianmin Ma, Xing Zhang and Zhanshe Yang Particle Swarm Optimization Based Image Enhancement of Visual Cryptography Shares .... .... .... .... .... .... ..... .... 31 M. Mary Shanthi Rani and G. Germine Mary Fast Level Set Algorithm for Extraction and Evaluation of Weld Defects in Radiographic Images. .... .... .... .... ..... .... 51 Yamina Boutiche Efficient Combination of Color, Texture and Shape Descriptor, Using SLIC Segmentation for Image Retrieval.... .... .... ..... .... 69 N. Chifa, A. Badri, Y. Ruichek, A. Sahel and K. Safi DEPO: Detecting Events of Public Opinion in Microblog ... ..... .... 81 Guozhong Dong, Wu Yang and Wei Wang Hybrid Cuckoo Search Based Evolutionary Vector Quantization for Image Compression.. .... ..... .... .... .... .... .... ..... .... 89 Karri Chiranjeevi, Umaranjan Jena and P.M.K. Prasad Edge and Fuzzy Transform Based Image Compression Algorithm: edgeFuzzy .... .... .... .... ..... .... .... .... .... .... ..... .... 115 Deepak Gambhir and Navin Rajpal Real-Time Implementation of Human Action Recognition System Based on Motion Analysis ... ..... .... .... .... .... .... ..... .... 143 Kamal Sehairi, Cherrad Benbouchama, El Houari Kobzili and Fatima Chouireb vii viii Contents Cross-Modal Learning with Images, Texts and Their Semantics .. .... 165 Xing Xu Light Field Vision for Artificial Intelligence .. .... .... .... ..... .... 189 Yichao Xu and Miu-ling Lam Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 211 Contributors A. Badri Faculty of Sciences and Techniques (FSTM), EEA&TI Laboratory, Hassan II University of Casablanca, Mohammedia, Morocco Cherrad Benbouchama Laboratoire LMR, École Militaire Polytechnique, Algiers, Algeria Yamina Boutiche Research Center in Industrial Technologies CRTI, ex CSC., Algiers, Algeria; Faculté des Sciences de L’ingénieur, Département d’ Electron- ique, Université Saad Dahlab de Blida, Blida, Algeria N. Chifa Faculty of Sciences and Techniques (FSTM), EEA&TI Laboratory, Hassan II University of Casablanca, Mohammedia, Morocco Karri Chiranjeevi Department of Electronics and Tele-Communication Engi- neering, Veer Surendra Sai University of Technology, Burla, Odisha, India Fatima Chouireb Laboratoire LTSS, Université Amar Telidji Laghouat, Laghouat, Algeria Guozhong Dong Information Security Research Center, Harbin Engineering University, Harbin, China Deepak Gambhir School of Information and Communication Technology, Guru Gobind Singh Inderprastha University, Dwarka, New Delhi, India Umaranjan Jena Department of Electronics and Tele-Communication Engineer- ing, Veer Surendra Sai University of Technology, Burla, Odisha, India El Houari Kobzili Laboratoire LMR, École Militaire Polytechnique, Algiers, Algeria Miu-ling Lam School of Creative Media, City University of Hong Kong, Kow- loon Tong, Hong Kong Yujie Li School of Information Engineering, Yangzhou University, Yangzhou, China ix