03585nam 2200709 a 450 991101964090332120200520144314.0978661386225997812835498061283549808978111821954611182195469781118219522111821952X97811182195151118219511(CKB)2670000000231080(EBL)822089(SSID)ssj0000696183(PQKBManifestationID)11414203(PQKBTitleCode)TC0000696183(PQKBWorkID)10678352(PQKB)10392875(MiAaPQ)EBC822089(CaBNVSL)mat06381539(IDAMS)0b00006481be9495(IEEE)6381539(OCoLC)801366214(PPN)188209352(Perlego)1013650(EXLCZ)99267000000023108020111018d2012 uy 0engur|n|---|||||txtccrMultimedia information extraction advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /edited by Mark T. MayburyHoboken, N.J. Wiley20121 online resource (498 p.)Description based upon print version of record.9781118118917 111811891X Includes bibliographical references and index.section 1. Image extraction -- section 2. Video extraction -- section 3. Audio, graphics, and behavior extraction -- section 4. Affect extraction from audio and imagery -- section 5. Multimedia annotation and authoring."The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains.This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers. "--Provided by publisher.Data miningMetadata harvestingComputer filesData mining.Metadata harvesting.Computer files.006.3/12COM034000bisacshMaybury Mark T535742MiAaPQMiAaPQMiAaPQBOOK9911019640903321Multimedia information extraction3951757UNINA