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020 _a9781846287992
_99781846287992
024 7 _a10.1007/9781846287992
_2doi
035 _avtls000344022
039 9 _a201509030357
_bVLOAD
_c201405050301
_dVLOAD
_y201402061246
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.575
100 1 _aPetrushin, Valery A.
_eeditor.
_9323218
245 1 0 _aMultimedia Data Mining and Knowledge Discovery /
_cedited by Valery A. Petrushin, Latifur Khan.
264 1 _aLondon :
_bSpringer London,
_c2007.
300 _axxv, 521 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _ainto Multimedia Data Mining and Knowledge Discovery -- Multimedia Data Mining: An Overview -- Multimedia Data Exploration and Visualization -- A New Hierarchical Approach for Image Clustering -- Multiresolution Clustering of Time Series and Application to Images -- Mining Rare and Frequent Events in Multi-camera Surveillance Video -- Density-Based Data Analysis and Similarity Search -- Feature Selection for Classification of Variable Length Multiattribute Motions -- Multimedia Data Indexing and Retrieval -- FAST: Fast and Semantics-Tailored Image Retrieval -- New Image Retrieval Principle: Image Mining and Visual Ontology -- Visual Alphabets: Video Classification by End Users -- Multimedia Data Modeling and Evaluation -- Cognitively Motivated Novelty Detection in Video Data Streams -- Video Event Mining via Multimodal Content Analysis and Classification -- Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data -- A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects -- Extracting Semantics Through Dynamic Context -- Mining Image Content by Aligning Entropies with an Exemplar -- More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks -- A Data Mining Approach to Expressive Music Performance Modeling -- Applications and Case Studies -- Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering -- A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos -- Multiple-Sensor People Localization in an Office Environment -- Multimedia Data Mining Framework for Banner Images -- Analyzing User’s Behavior on a Video Database -- On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases -- Mining Knowledge in Computer Tomography Image Databases.
520 _aMultimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications. Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Topics and Features: • Features a comprehensive introduction to multimedia data mining and its relevance today • Presents a global perspective of the field and its various components • Provides broad, yet thorough and detailed coverage of the subject • Numerous chapters reference websites with supplementary materials and demonstrations • Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization • Offers an entire part devoted to applications and case studies Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aKhan, Latifur.
_eeditor.
_9323219
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781846284366
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-799-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291777
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