lecture 1: sketch of multimedia communications lecture 2: introduction to multimedia
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Multimedia Communications 2. Lecture 1: Sketch of Multimedia Communications Lecture 2: Introduction to Multimedia - PowerPoint PPT PresentationTRANSCRIPT
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Multimedia Communications
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Lecture 1: Sketch of Multimedia Communications Lecture 2: Introduction to Multimedia Multimedia: representation of mixed modes of information
such as text, data, image, audio, and video Multimedia Communications: technologies to manipulate,
transmit, and control audiovisual signals across a networked communications channel
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Internet and Multimedia Communications
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Experiences of surfing Internet with WWW browser Web Pages written in HTML (Hypertext Markup Language)
include both text and images, and pointers to other web pages
Some involve speech, audio, and video Deficiencies of Internet for Multimedia Communications Images require much more data space to depict. Video
requires even more data space
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Internet and Multimedia Communications
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Prior to WWW, most uses of Internet: e-mail or file transfer (FTP)
Downloading of graphics & images: rare Speech communications over Internet: rare Real-time communications: not a major concern WWW has changed the entire story
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Internet and Multimedia Communications
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Build new information superhighways (ISH) for future Internet: fast and efficient Multimedia Communications
Design of ISH: complicated, not as simple as building wide-band networks alone
Access, control, and monitor issues
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Continuous & Discrete Media
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Continuous media: time dependent, such as audio & video Discrete media: time independent, such as text (formatted
or unformatted), still images, and graphics Discrete media communications: relatively straightforward Continuous media communications: sophisticated, e.g.,
video & audio data streams transmission in synchronization
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Digital Signals
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In traditional telecommunications systems: information in analog form
In computer communications: audiovisual signals in digital form analog signals digital signals: sampling and quantization +
encoding
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Digital Signals
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Sampling s(t)= {s(T), s(2T), s(3T), … , s(nT)} T: sampling interval f=1/T sampling frequency
Nyquist’s sampling theorem: if s(t) is band-limited to f0, the minimum sampling frequency to represent the signal accurately > 2 f0
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Digital Signals
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A speech signal band-limited by 3kHz must be sampled at least 6kHz faster
a more conservative sampling rate of 8kHz adopted due to need for quantization & encoding
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Digital Signals
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Quantization & encoding: the sampled value of signals quantized and encoded as a string of bits
In telephone speech applications: use 16 bits per sample, thus lead to 216 distinct voice levels
In other speech compression applications: perhaps use only 8 bits per sample, thus lead to 28 distinct voice levels
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Digital Signals
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Bit rate = sampling rate #(quantization bits) bandwidth of speech signal ~ 3kHz sampling rate = 8kHz 8-bit quantizer
bit rate needed for telephone speech = 64 kbps
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Digital Signals
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Compact audio disk (CD): in high fidelity, bandwidth ~ 20 kHz sampling rate = 44.1 kHz 16-bit quantizer
Bit rate for stereo (2 channels) CD = 1,410 kbps
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Digital Signals
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In date communications, bit rate: an important parameter
Channel capacity of public data networks: measured in kbps or Mbps
In ISDN (Integrated Service Digital Network), the standard bit-rate for speech: 64 kbps
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Digital Signals
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Teleconferencing: sampling rate = 16 kHz bandwidth = 7 kHz bit rate = 256 kbps
Digital audio tape: sampling rate = 48 kHz bandwidth = 20kHz bit rate = 1,536 kbps
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Still Images 2
Images composed of pixels (picture element) Pixel: the smallest resolvable unit area of an image, on
a screen or in memory Each pixel in a 8-bit monochrome image has its own
brightness: from 0 for black to 255 for white Each pixel in a color image has its own brightness and
color
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Still Images 2
Computer images: bit maps of pixels A standard computer display: 7681024 pixels A color display: 24 bits per pixel (bpp) for color &
brightness #(bits of a color image on computer screen) = 768
1024 24 = 18.874 Mbits Send this color image over a 56 kbps modem:
transmission time = 18874000/56000 ~ 337 secs ~ 5.6 min
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Still Images 2
Send the image over a faster channel, such as T1 line (1.544 Mbps)
Reduce #(bits per pixel) Reduce resolution of display Remove redundancy in display
Image compression combines the last three approaches
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Text & Line Drawing
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Each plain text character: 1 byte Each formatted text character: 2 bytes A single page of text: 6480 characters
#(bits of a single full page) = 64 80 2 8 = 82 kbits For 56 kbps modem, it takes 1.46 secs to transmit
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Text & Line Drawing
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Line drawing: revisable or editable A straight line: two end points A circle: center and radius Need much less storage space in memory &
transmission time over a network than bit-mapped images
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Video & 3D Graphics 2
Video or motion pictures composed of temporal sequences of images or frames
Frame rate: if too low, the motion becomes jerky Movies: 25~30 fps A frame rate of 16 or more needed to depict smooth
motion Each camera shot is an individual frame
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Video & 3D Graphics
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In video displays, the frame rate is that rate at which the temporal sequence is played back: usually, ~25-30 fps
A second of video under the Common Intermediate Format (CIF) operating at 30 fps, frame size 288360 pixels, 24 bits for brightness and color at each pixel: ~74.65 Mbps
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Video & 3D Graphics
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Most commonly used multimedia device: PC Most common communications device used by PCs:
modem attached to the ordinary telephone lines For a 56 kbps modem, a single second of CIF video
requires 1333 secs The PC can not receive the video in real-time The PC needs gigabits of video storage memory
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Encoding & Decoding
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Human beings can sense only analog audiovisual signals
For digital communications systems, analog signals must be converted into digital form by encoder (A/D conversion, quantization, and compression)
Modem telephone networks such as ISDN completely digital: digital transmission & digital switching
End users: humans (D/A conversion), or machine Encoder/decoder: also data compression
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Encoding & Decoding
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Speech compression algorithms distinctly different from video compression techniques
The evaluation of compression methods depends upon human audiovisual perception of signal quality
Many compression techniques use knowledge of mechanisms of human perception (perceptual coding)
Just noticeable distortion (JND) For high-fidelity audio, the JND variation versus
frequency can be measured for a wide range of human listeners
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Bandwidth vs. Compression
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In today’s telecommunications, considerable progress in both compression technology and high-speed networking
Great availability of broader bandwidths at lower costs of LANs & WANs the need for signal compression decreases
With increasing number of users sending/receiving multimedia data, compression is still needed
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Bandwidth vs. Compression
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Households with a high bandwidth network are still in their infancy
Mobile computers communicate over wireless links: lower bandwidths, higher transmission error rates, and more frequent disconnections in comparison to wired networks
Mass storage: digital library, image & video archival, CDs for audio and/or video
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Bandwidth vs. Compression
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Constant progress in compression technology: in telephone speech:
64 kbps in 1972 for network quality speech 32 kbps in 1984 16 kbps in 1992 8 kbps
Better and better speech compression algorithms, as well as more and more powerful integrated circuits for speech compression
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Bandwidth vs. Compression
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Many international compression standards in use today apply to network telephony, audio, image, and video transmissionStandard Bit rate Application
G.721 32 kbps telephony
G.728 16 kbps telephony
G.722 48 - 64 kbps teleconferencing
MPEG-1 (audio) 128 - 384 kbps 2-channel audio
MPEG-2 (audio) 320 kbps 5-channel audio
JBIG 0.05 - 0.10 bpp binary images
JPEG 0.25 - 8.0 bpp still images
MPEG-1,2 (video) 1 – 8 Mbps video
Px64 64 – 1,536 kbps videoconferencing
HDTV 17 Mbps Advanced TV
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Bandwidth vs. Compression
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CD-quality audio: bandlimit: 20 kHz sampling rate: 44 kHz quantization level: 16 bits yield 1.412 Mbps stereo
By using Perceptual Audio Coder (PAC) of AT&T Bell Laboratories, the capability of broadcasting CD-quality music at 64 kbps
The CD-quality sound can now be sent over a basic rate ISDN channel
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Bandwidth vs. Compression
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In Europe and in Japan, use of basic-rate ISDN for business & in-home applications is widespread
In US, it is becoming so With bandwidths 28.8 kbps, multimedia
communications with data compression is certainly feasible
In many commercial environments, LANs offer bandwidths of 10 Mbps or more, and WAN-connectivity of T1 (1.536 Mbps)
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Bandwidth vs. Compression
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In the near future, asynchronous transfer mode technology (ATM) will offer higher and higher data rates for both LANs and WANs
With rapid deployment of ATM-based networks, B-ISDN (i.e., broadband ISDN) will be increasingly available for multimedia communications
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Bandwidth vs. Compression
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In the public-switched telephone network (PSTN), the capability of broadband communications: use of fiber optics transmission & switching technologies
Current fastest data rate over commercial fiber optics networks: 2.5 Gbps
At 1.1 Tera bps, Fujitsu Laboratories of Japan as well as AT&T Bell Laboratories: 4 million newspaper pages, 250 years’ worth of newspaper transmitted in one second
1.1 Tera bps ~ 15 million 64 kbps ISDN circuits