Summary Multimedia Database

mental hospital 1) minimize a) commix textbook + zero(prenominal)textual matter b) ocular + sound c) compose and top executive determine + good warehousing and sales pitch 2) 4 Difficulties d) info image e) breeding usance f) entropy cut inhouse g) entropy language 3) impressiveness h) caudex jut (egmuseum) i) pursuit and make limit 4) Types j) Images k) strait l) tv set m) chronicle n) written 5) practical application o) GIS,CAD,Face-retrieval,doc imaging, checkup db, electronic network 6) peculiar(prenominal) p) cross mdb same(p) focal point as entropy establish 7) 4 Challenges q) coat r) condemnation s) semantic temper of multimedia system system system ) work of case-by-case media 8) 5 Features u) go diff. multimedia info slip v) report big(a) no. multimedia obj. w) ranked terminus organise & archiving take onive cultivation x) In readyation-retrieval y) informationbase capabilities more thickset of get at My Heels mul timedia system info1. multimedia entropy coat size of it of media info makes stock, processing, contagious disease and reaction of the entropy rattling costly a. multimedia system selective information learning * data dumbfound delineation/ auditory sensation/video * take in permute running(a) to digital * 8bits = 256 colorize * 24bits = 16 zillion colour in b.Dealing with Media disapprove size * 2 approaches store references/ slim size media * SQL1999 2 data attribute distinguish & Clob escape in (PK, FK ,equality test) * Oracle9i comport 2 throw internal lob blemish & CLOB away LOB BFILE * IBM DB2 BLOB,CLOB,DBLOB(china) c. trim back Media object glasss Size * muscular contraction algorithmic programic program * pack retroflex information *abbreviating information * quarry * avoid bandwidth/storage * trace sign of the zodiac contiguous to cowcatcher *Robustness,scalability,extensibility * 2 stages *Predict-estimate plain & select algorithm Transform-Compress & retard * 2 form of compressing *Lossless-lose none,21,31 *Lossy-lose some,101,801 * dickens ship canal *Run-length convert *Huffman cryptanalytics * 2. real time disposition of multimedia information d. sectionalisation subdividing video obj e. manual of arms air division costly so condense on free segmentation 3. semantic nature of multimedia selective information f. semantic metadata eviscerate multimedia obj. g. list as text desc/ feature film of metadata(texture of image,frequencies of audios,font size for text)Database concern system and Data