000 03622nam a22005295i 4500
001 978-3-319-11782-9
003 DE-He213
005 20200420220221.0
007 cr nn 008mamaa
008 141025s2014 gw | s |||| 0|eng d
020 _a9783319117829
_9978-3-319-11782-9
024 7 _a10.1007/978-3-319-11782-9
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
082 0 4 _a006.7
_223
100 1 _aMuneesawang, Paisarn.
_eauthor.
245 1 0 _aMultimedia Database Retrieval
_h[electronic resource] :
_bTechnology and Applications /
_cby Paisarn Muneesawang, Ning Zhang, Ling Guan.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXII, 350 p. 142 illus., 111 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMultimedia Systems and Applications
505 0 _aIntroduction -- Kernel-Based Adaptive Image Retrieval Methods -- Self-Adaptation in Image and Video Retrieval -- Interactive Mobile Visual Search and Recommendation at Internet Scale -- Mobile Landmark Recognition -- Image Retrieval from a Forensic Cartridge Case Database -- Indexing, Object Segmentation, and Event Detection in News and Sports Videos -- Adaptive Retrieval in a P2P Cloud Datacenter -- Scalable Video Genre Classification and Event Detection -- Audio-Visual Fusion for Film Database Retrieval and Classification -- Motion Database Retrieval with Application to Gesture Recognition in a Virtual Realty Dance Training System.
520 _aThis book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.
650 0 _aComputer science.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval.
650 0 _aMultimedia information systems.
650 1 4 _aComputer Science.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aZhang, Ning.
_eauthor.
700 1 _aGuan, Ling.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319117812
830 0 _aMultimedia Systems and Applications
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-11782-9
912 _aZDB-2-SCS
942 _cEBK
999 _c51895
_d51895