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. |
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92 sonuçtan 1-3 arası sonuçlar
Sayfa 202
... input with a desired number of output values . This can be done by adjusting the step size A to match the input statistics . Let's examine the performance of an M level quantizer . Let B = { bo , b1 .... , bм } be the set of decision ...
... input with a desired number of output values . This can be done by adjusting the step size A to match the input statistics . Let's examine the performance of an M level quantizer . Let B = { bo , b1 .... , bм } be the set of decision ...
Sayfa 207
... input into vectors . Let X = { x1 , x2 , ... , xk } be a vector of samples . Whether our input data is an image , a piece of music , an audio or video clip , or even a piece of text , there is a good chance that a substantial amount of ...
... input into vectors . Let X = { x1 , x2 , ... , xk } be a vector of samples . Whether our input data is an image , a piece of music , an audio or video clip , or even a piece of text , there is a good chance that a substantial amount of ...
Sayfa 225
... input sequence that is , O ( N ) . Extending the one - dimensional Haar wavelet transform into two dimensions is relatively easy : we simply apply the one - dimensional transform to the rows and columns of the two- dimensional input ...
... input sequence that is , O ( N ) . Extending the one - dimensional Haar wavelet transform into two dimensions is relatively easy : we simply apply the one - dimensional transform to the rows and columns of the two- dimensional input ...
Diğer baskılar - Tümünü görüntüle
Sık kullanılan terimler ve kelime öbekleri
algorithm allows applications audio average band bandwidth basic bitrate bits bitstream block boundary called cell channel Chapter coding coefficients color communication components compression contains create data rate decoder defined developed discussed effect encoder enhancement error estimation example Figure filter format frame frequency function given Hence important input JPEG layer locales macroblock method mode motion vectors multimedia nodes object operates original output packet picture pixels possible prediction protocol provides quantization range received reference represent result samples scale scheme segment sequence shows signal similar simple sound specified speech standard step stream symbol Table techniques texture transform transmission transmitted types usually values voice wavelet wireless
Bu kitaba yapılan referanslar
Multimedia Transcoding in Mobile and Wireless Networks Ahmad, Ashraf M.A.,Khalil, Ismail Sınırlı önizleme - 2008 |