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001 u374371
003 SIRSI
005 20160812084231.0
007 cr nn 008mamaa
008 100419s2010 gw | s |||| 0|eng d
020 _a9783642129001
_9978-3-642-12900-1
040 _cMX-MeUAM
050 4 _aTA329-348
050 4 _aTA640-643
082 0 4 _a519
_223
100 1 _aSchonfeld, Dan.
_eeditor.
245 1 0 _aVideo Search and Mining
_h[recurso electrónico] /
_cedited by Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a380p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v287
505 0 _aMotion Trajectory Analysis -- Object Trajectory Analysis in Video Indexing and Retrieval Applications -- Trajectory Clustering for Scene Context Learning and Outlier Detection -- Motion Trajectory-Based Video Retrieval, Classification, and Summarization -- High-Dimensional Video Representation -- Three Dimensional Information Extraction and Applications to Video Analysis -- Statistical Analysis on Manifolds and Its Applications to Video Analysis -- Semantic Video Analysis -- Semantic Video Content Analysis -- Video Genre Inference Based on Camera Capturing Models -- Visual Concept Learning from Weakly Labeled Web Videos -- Personalized Video -- Face Recognition and Retrieval in Video -- A Human-Centered Computing Framework to Enable Personalized News Video Recommendation -- Video Mining -- A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Video Collections -- Video Repeat Recognition and Mining by Visual Features -- Mining TV Broadcasts 24/7 for Recurring Video Sequences -- YouTube Scale, Large Vocabulary Video Annotation.
520 _aThis book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e.g. text), video mining is still in its infancy.The objective of this book is to present the latest advances in video search and mining covering both theoretical approaches and practical applications. The book provides researchers and practitioners a comprehensive understanding of the start-of-the-art in video search and mining techniques and a resource for potential applications and successful practice. This book can also serve as an important reference tool and handbook for researchers and practitioners in video search and mining.
650 0 _aEngineering.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
700 1 _aShan, Caifeng.
_eeditor.
700 1 _aTao, Dacheng.
_eeditor.
700 1 _aWang, Liang.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642128998
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v287
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-12900-1
596 _a19
942 _cLIBRO_ELEC
999 _c202251
_d202251