Fundamentals of MultimediaPearson Prentice Hall, 2004 - 560 sayfa For one-semester, advanced undergraduate/graduate-level Multimedia courses in departments of Computer Science, Engineering, CIS, and IT. This text fills a gap in the rapidly growing field of multimedia by introducing advanced programming students to the basic concepts of multimedia. Written by experienced teachers, this text evolved from materials used in class and forms the basis for all of the important topics that should be covered in a multimedia course. The material emphasizes concepts over applications and exposes students to real issues that they will encounter in the workplace. |
Kitabın içinden
29 sonuçtan 1-3 arası sonuçlar
Sayfa 175
... Huffman algorithm apparently generated the same coding result as one of the Shannon - Fano results shown in Figure ... Huffman algorithm needs only 87 . As shown above , if correct probabilities ( " prior statistics " ) are available and ...
... Huffman algorithm apparently generated the same coding result as one of the Shannon - Fano results shown in Figure ... Huffman algorithm needs only 87 . As shown above , if correct probabilities ( " prior statistics " ) are available and ...
Sayfa 176
... Huffman coding of this type is called Extended Huffman Coding [ 2 ] . Assume an information source has alphabet S = { $ 1 , $ 2 , ... , Sn } . If k symbols are grouped together , then the extended alphabet is k symbols S ( k ) = { S1S1 ...
... Huffman coding of this type is called Extended Huffman Coding [ 2 ] . Assume an information source has alphabet S = { $ 1 , $ 2 , ... , Sn } . If k symbols are grouped together , then the extended alphabet is k symbols S ( k ) = { S1S1 ...
Sayfa 261
... coding step . Below , we will discuss only the basic ( or baseline1 ) entropy coding method , which uses Huffman coding and supports only 8 - bit pixels in the original images ( or color image com- ponents ) . Let's examine the two ...
... coding step . Below , we will discuss only the basic ( or baseline1 ) entropy coding method , which uses Huffman coding and supports only 8 - bit pixels in the original images ( or color image com- ponents ) . Let's examine the two ...
İçindekiler
MPEG Video Coding II MPEG4 7 and Beyond | 12 |
1 | 18 |
3 | 33 |
Telif Hakkı | |
25 diğer bölüm gösterilmiyor
Diğer baskılar - Tümünü görüntüle
Sık kullanılan terimler ve kelime öbekleri
algorithm applications arithmetic coding audio bandwidth basic bitrate bitstream block byte channel Chapter chrominance coder codeword color image components data compression data rate DCT coefficients decoder defined digital video encoder enhancement layer entropy coding error example Figure filter frame frequency function gamma correction graphics HDTV header histogram Huffman coding IDCT IEEE image compression input JBIG2 JPEG JPEG-LS kbps keyframe lossless lossy macroblock masking Mbps method MIDI mode motion compensation motion vectors movie MPEG multimedia node NTSC number of bits objects output P-frame packet parameters pixels prediction protocol quantization range reconstructed result samples scalability scale scan scheme segment sequence shows signal simple sound spatial specified speech sprite standard subband symbol Table texture tone transmission transmitted types values variable-length coding VRML wavelet transform window zero
Bu kitaba yapılan referanslar
Multimedia Transcoding in Mobile and Wireless Networks Ahmad, Ashraf M.A.,Khalil, Ismail Sınırlı önizleme - 2008 |