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
89 sonuçtan 1-3 arası sonuçlar
Sayfa 92
... values of X , Y , Z given by the three curve values form the limits of what humans can see . However , from Equation ( 4.6 ) we observe that increasing the brightness of illumination ( turning up the light bulb's wattage ) increases the ...
... values of X , Y , Z given by the three curve values form the limits of what humans can see . However , from Equation ( 4.6 ) we observe that increasing the brightness of illumination ( turning up the light bulb's wattage ) increases the ...
Sayfa 96
... values XYZ to device RGBs , and not just deal with chromaticity xyz . The difference is that XYZ values include the magnitude of the color . We also need to be able to alter matters such that when each of R , G , B is at maximum value ...
... values XYZ to device RGBs , and not just deal with chromaticity xyz . The difference is that XYZ values include the magnitude of the color . We also need to be able to alter matters such that when each of R , G , B is at maximum value ...
Sayfa 151
... values that occurs in differences , compared to the original signal . Chapter 7 introduces more sophisticated versions of lossless compression methods , but it helps to see a simple version here as well . With quantization , Predictive ...
... values that occurs in differences , compared to the original signal . Chapter 7 introduces more sophisticated versions of lossless compression methods , but it helps to see a simple version here as well . With quantization , Predictive ...
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 |