00954nam a2200253 i 4500991000474449707536040216s2001 enk b 001 0 eng d0199246351b12621882-39ule_instDip.to Filologia Ling. e Lett.itaCatford, J.C.482089A practical introduction to phonetics /J.C. Catford2. ed.Oxford :Oford University press ;c2001viii, 229 p. ;24 cmOxford Textbooks in linguisticsIncludes bibliographical references and indexFonetica.b1262188221-09-0616-02-04991000474449707536LE008 FL.M. (Ling.) I A 4112008000038120le008Grimaldi-E0.00-l- 01010.i1310738016-02-04A practical introduction to phonetics276199UNISALENTOle00816-02-04ma -engenk0004350nam 2200673 a 450 991043760360332120200520144314.01-283-90947-21-4614-5486-710.1007/978-1-4614-5486-1(CKB)2670000000246726(EBL)1081933(OCoLC)811563979(SSID)ssj0000767187(PQKBManifestationID)11479862(PQKBTitleCode)TC0000767187(PQKBWorkID)10733107(PQKB)10896879(DE-He213)978-1-4614-5486-1(MiAaPQ)EBC1081933(PPN)168303167(EXLCZ)99267000000024672620120727d2013 uy 0engur|n|---|||||txtccrSemantic analysis and understanding of human behavior in video streaming /Alberto Amato, Vincenzo Di Lecce, Vincenzo PiuriNew York Springer20131 online resource (110 p.)Description based upon print version of record.1-4614-5485-9 Includes bibliographical references.Introduction -- Sensors for Human Behavior Analysis -- Related Works -- Sensor Data Interpretation for Symbolic Analysis -- Semantic Analysis -- Evaluation of the proposed methodology -- Conclusions.Semantic Analysis and Understanding of Human Behaviour in Video Streaming investigates the semantic analysis of the human behaviour captured by video streaming, and introduces both theoretical and technological points of view. Video analysis based on the semantic content is in fact still an open issue for the computer vision research community, especially when real-time analysis of complex scenes is concerned.   This book explores an innovative, original approach to human behaviour analysis and understanding by using the syntactical symbolic analysis of images and video streaming described by means of strings of symbols. A symbol is associated to each area of the analyzed scene. When a moving object enters an area, the corresponding symbol is appended to the string describing the motion. This approach allows for characterizing the motion of a moving object with a word composed by symbols. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature both of the representations and the related operations used to manipulate them. Besides, the structure of the representations is well suited for possible parallel processing, thus allowing for speeding up the analysis when appropriate hardware architectures are used. A new methodology for design systems for hierarchical high semantic level analysis of video streaming in narrow domains is also proposed.  Guidelines to design your own system are provided in this book.   Designed for practitioners, computer scientists and engineers working within the fields of human computer interaction, surveillance, image processing and computer vision, this book can also be used as secondary text book for advanced-level students in computer science and engineering.  .Human behaviorPsychologyResearchTechnological innovationsBehavioral assessmentTechnological innovationsBehaviorism (Psychology)Mass mediaSocial aspectsStreaming videoData processingHuman behavior.PsychologyResearchTechnological innovations.Behavioral assessmentTechnological innovations.Behaviorism (Psychology)Mass mediaSocial aspects.Streaming videoData processing.302.30285/675Amato Alberto1062753Lecce Vincenzo Di1062754Piuri Vincenzo519976MiAaPQMiAaPQMiAaPQBOOK9910437603603321Semantic analysis and understanding of human behavior in video streaming2528314UNINA