• Tidak ada hasil yang ditemukan

Enabling Technologies

N/A
N/A
Protected

Academic year: 2023

Membagikan "Enabling Technologies"

Copied!
30
0
0

Teks penuh

(1)

Enabling

Technologies

Chapter 2

Digital Multimedia, 2nd edition

Enabling

Technologies Enabling Technologies

Chapter 2

Digital Multimedia, 2nd edition

Enabling

Technologies

(2)

Bit: 0 or 1, on or off, …

Byte: eight bits, one character

1000 Bytes (1KB)

75KB Low resolution image (640X480)

1,000,000 Bytes (1MB)

5MB 4 minute song (MP3)

1 billion Bytes (1GB)

3GB 100 minutes DVD quality video

Remember Bits and Bytes?

Bit: 0 or 1, on or off, …

Byte: eight bits, one character

1000 Bytes (1KB)

75KB Low resolution image (640X480)

1,000,000 Bytes (1MB)

5MB 4 minute song (MP3)

1 billion Bytes (1GB)

3GB 100 minutes DVD quality video 2

Bit: 0 or 1, on or off, …

Byte: eight bits, one character

1000 Bytes (1KB)

75KB Low resolution image (640X480)

1,000,000 Bytes (1MB)

5MB 4 minute song (MP3)

1 billion Bytes (1GB)

3GB 100 minutes DVD quality video

Remember Bits and Bytes?

32–33

Bit: 0 or 1, on or off, …

Byte: eight bits, one character

1000 Bytes (1KB)

75KB Low resolution image (640X480)

1,000,000 Bytes (1MB)

5MB 4 minute song (MP3)

1 billion Bytes (1GB)

3GB 100 minutes DVD quality video

(3)

Numbers to base 2 (binary)

01100001 = 97 decimal

Characters – associate bit patterns (numbers) with characters via a character set

01100001 = a in ASCII

Brightness of an image at a point,

instantaneous amplitude of a sound wave, etc

Interpretation of Bits

Numbers to base 2 (binary)

01100001 = 97 decimal

Characters – associate bit patterns (numbers) with characters via a character set

01100001 = a in ASCII

Brightness of an image at a point,

instantaneous amplitude of a sound wave, etc 2

Numbers to base 2 (binary)

01100001 = 97 decimal

Characters – associate bit patterns (numbers) with characters via a character set

01100001 = a in ASCII

Brightness of an image at a point,

instantaneous amplitude of a sound wave, etc

Interpretation of Bits

33

Numbers to base 2 (binary)

01100001 = 97 decimal

Characters – associate bit patterns (numbers) with characters via a character set

01100001 = a in ASCII

Brightness of an image at a point,

instantaneous amplitude of a sound wave, etc

(4)

Each byte can be identified by its position in the sequence of all bytes in memory – its address

Collections of bytes can be combined into data structures using addresses

e.g. store an image as a sequence of

brightness values, use address of the first to access the image data

store a video sequence as series of images, add address of next and previous to each frame

Addresses

Each byte can be identified by its position in the sequence of all bytes in memory – its address

Collections of bytes can be combined into data structures using addresses

e.g. store an image as a sequence of

brightness values, use address of the first to access the image data

store a video sequence as series of images, add address of next and previous to each frame

2

Each byte can be identified by its position in the sequence of all bytes in memory – its address

Collections of bytes can be combined into data structures using addresses

e.g. store an image as a sequence of

brightness values, use address of the first to access the image data

store a video sequence as series of images, add address of next and previous to each frame

Addresses

34

Each byte can be identified by its position in the sequence of all bytes in memory – its address

Collections of bytes can be combined into data structures using addresses

e.g. store an image as a sequence of

brightness values, use address of the first to access the image data

store a video sequence as series of images, add address of next and previous to each frame

(5)

Converting a signal from analogue to digital form

Analogue signal can vary continuously, digital is restricted to discrete values

Two-stage process

Sampling – measure the value at discrete intervals

Quantization – restrict the value to a fixed set of quantization levels

Digitization

Converting a signal from analogue to digital form

Analogue signal can vary continuously, digital is restricted to discrete values

Two-stage process

Sampling – measure the value at discrete intervals

Quantization – restrict the value to a fixed set of quantization levels

2

Converting a signal from analogue to digital form

Analogue signal can vary continuously, digital is restricted to discrete values

Two-stage process

Sampling – measure the value at discrete intervals

Quantization – restrict the value to a fixed set of quantization levels

Digitization

35–36

Converting a signal from analogue to digital form

Analogue signal can vary continuously, digital is restricted to discrete values

Two-stage process

Sampling – measure the value at discrete intervals

Quantization – restrict the value to a fixed set of quantization levels

(6)

Sampling and Quantization

2

Sampling and Quantization

36

(7)

Sampling and Quantization

2

Sampling and Quantization

36

(8)

Only certain signal values are valid

Relatively immune to corruption by noise

Do not degrade when copied or transmitted over network

Some information lost

Undersampling

Samples 'too far apart' so cannot accurately reconstruct original signal

Digital Signals

Only certain signal values are valid

Relatively immune to corruption by noise

Do not degrade when copied or transmitted over network

Some information lost

Undersampling

Samples 'too far apart' so cannot accurately reconstruct original signal

2

Only certain signal values are valid

Relatively immune to corruption by noise

Do not degrade when copied or transmitted over network

Some information lost

Undersampling

Samples 'too far apart' so cannot accurately reconstruct original signal

Digital Signals

36–37

Only certain signal values are valid

Relatively immune to corruption by noise

Do not degrade when copied or transmitted over network

Some information lost

Undersampling

Samples 'too far apart' so cannot accurately reconstruct original signal

(9)

Under-sampling

2

Under-sampling

(10)

Under-sampling

2

Under-sampling

(11)

Any periodic waveform can be decomposed into a collection of frequency components

Each component is a pure sine wave specified by amplitude, frequency, etc.

fh is highest frequency of any component

The signal can be properly reconstructed if it has been sampled at a frequency > 2fh

Frequency Domain

Any periodic waveform can be decomposed into a collection of frequency components

Each component is a pure sine wave specified by amplitude, frequency, etc.

fh is highest frequency of any component

The signal can be properly reconstructed if it has been sampled at a frequency > 2fh

2

Any periodic waveform can be decomposed into a collection of frequency components

Each component is a pure sine wave specified by amplitude, frequency, etc.

fh is highest frequency of any component

The signal can be properly reconstructed if it has been sampled at a frequency > 2fh

Frequency Domain

38–39

Any periodic waveform can be decomposed into a collection of frequency components

Each component is a pure sine wave specified by amplitude, frequency, etc.

fh is highest frequency of any component

The signal can be properly reconstructed if it has been sampled at a frequency > 2fh

(12)

Undersamping leads to aliasing

Sound distortion

image 'jaggies' or Moiré patterns

jerky or retrograde motion

Sampling Theorem

Undersamping leads to aliasing

Sound distortion

image 'jaggies' or Moiré patterns

jerky or retrograde motion

2

Undersamping leads to aliasing

Sound distortion

image 'jaggies' or Moiré patterns

jerky or retrograde motion

Sampling Theorem

40–41

Undersamping leads to aliasing

Sound distortion

image 'jaggies' or Moiré patterns

jerky or retrograde motion

(13)

Video Sampling

Second hand – sampled every 15 seconds 2

Video Sampling

Second hand – sampled every 15 seconds

(14)

Under-sampling Video

2

Under-sampling Video

(15)

Over-sampling

Audio: Can not tell 100 KHz from 200 KHz

Video: Can not tell 60 fpm from 120 fpm

Images: Can not tell 512 shade-gradient from 1024 shades.

Over sampling means you use extra bits,

memory, but humans don’t see any increase in quality, precision, etc.

Audio: Can not tell 100 KHz from 200 KHz

Video: Can not tell 60 fpm from 120 fpm

Images: Can not tell 512 shade-gradient from 1024 shades.

Over sampling means you use extra bits,

memory, but humans don’t see any increase in quality, precision, etc.

2

Over-sampling

Audio: Can not tell 100 KHz from 200 KHz

Video: Can not tell 60 fpm from 120 fpm

Images: Can not tell 512 shade-gradient from 1024 shades.

Over sampling means you use extra bits,

memory, but humans don’t see any increase in quality, precision, etc.

Audio: Can not tell 100 KHz from 200 KHz

Video: Can not tell 60 fpm from 120 fpm

Images: Can not tell 512 shade-gradient from 1024 shades.

Over sampling means you use extra bits,

memory, but humans don’t see any increase in quality, precision, etc.

(16)

Over-sampled / Under- sampled

2

Over-sampled / Under-

sampled

(17)

Reducing memory requirements by using fewer bits for each value means fewer quantization levels are available

Cannot distinguish between values that fall between levels

Images: banding and posterization

Sound: coarse hiss, loss of quiet passages, general fuzziness (quantization noise)

Too Few Quantization Levels

Reducing memory requirements by using fewer bits for each value means fewer quantization levels are available

Cannot distinguish between values that fall between levels

Images: banding and posterization

Sound: coarse hiss, loss of quiet passages, general fuzziness (quantization noise)

2

Reducing memory requirements by using fewer bits for each value means fewer quantization levels are available

Cannot distinguish between values that fall between levels

Images: banding and posterization

Sound: coarse hiss, loss of quiet passages, general fuzziness (quantization noise)

Too Few Quantization Levels

41–42

Reducing memory requirements by using fewer bits for each value means fewer quantization levels are available

Cannot distinguish between values that fall between levels

Images: banding and posterization

Sound: coarse hiss, loss of quiet passages, general fuzziness (quantization noise)

(18)

Consumption

Capabilities of typical consumer systems determine limits of what is feasible

Mobile devices may impose even tighter limitations

Production

Highly demanding on processor power,

memory, secondary storage (especially for video)

Hardware Requirements

Consumption

Capabilities of typical consumer systems determine limits of what is feasible

Mobile devices may impose even tighter limitations

Production

Highly demanding on processor power,

memory, secondary storage (especially for video)

2

Consumption

Capabilities of typical consumer systems determine limits of what is feasible

Mobile devices may impose even tighter limitations

Production

Highly demanding on processor power,

memory, secondary storage (especially for video)

Hardware Requirements

42–45

Consumption

Capabilities of typical consumer systems determine limits of what is feasible

Mobile devices may impose even tighter limitations

Production

Highly demanding on processor power,

memory, secondary storage (especially for video)

(19)

High capacity disks connected via high speed buses

Firewire 400, Firewire 800, USB 2.0, SCSI III

RAID arrays

Graphics tablet and pressure-sensitive pen

High-resolution monitor

Digital camera, scanner, DV camera,…

Peripherals

High capacity disks connected via high speed buses

Firewire 400, Firewire 800, USB 2.0, SCSI III

RAID arrays

Graphics tablet and pressure-sensitive pen

High-resolution monitor

Digital camera, scanner, DV camera,…

2

High capacity disks connected via high speed buses

Firewire 400, Firewire 800, USB 2.0, SCSI III

RAID arrays

Graphics tablet and pressure-sensitive pen

High-resolution monitor

Digital camera, scanner, DV camera,…

Peripherals

46–47

High capacity disks connected via high speed buses

Firewire 400, Firewire 800, USB 2.0, SCSI III

RAID arrays

Graphics tablet and pressure-sensitive pen

High-resolution monitor

Digital camera, scanner, DV camera,…

(20)

Applications for different media types

Images: image editing, painting and drawing (Photoshop, Illustrator)

Text: editors, layout programs

Video: editing and post-production

(Premiere, After Effects, Final Cut Pro)

Animation: drawing, interpolation (Flash)

Sound: editing and effects (Audition, Bias Peak)

Software Requirements

Applications for different media types

Images: image editing, painting and drawing (Photoshop, Illustrator)

Text: editors, layout programs

Video: editing and post-production

(Premiere, After Effects, Final Cut Pro)

Animation: drawing, interpolation (Flash)

Sound: editing and effects (Audition, Bias Peak)

2

Applications for different media types

Images: image editing, painting and drawing (Photoshop, Illustrator)

Text: editors, layout programs

Video: editing and post-production

(Premiere, After Effects, Final Cut Pro)

Animation: drawing, interpolation (Flash)

Sound: editing and effects (Audition, Bias Peak)

Software Requirements

48

Applications for different media types

Images: image editing, painting and drawing (Photoshop, Illustrator)

Text: editors, layout programs

Video: editing and post-production

(Premiere, After Effects, Final Cut Pro)

Animation: drawing, interpolation (Flash)

Sound: editing and effects (Audition, Bias Peak)

(21)

Applications for combining media types

'Authoring systems'

Timeline-based (e.g. Director)

Markup-based for WWW (e.g.

Dreamweaver)

May require some programming in a scripting language to provide interactivity

Behaviours provide prefabricated parameterized actions

Software Requirements

Applications for combining media types

'Authoring systems'

Timeline-based (e.g. Director)

Markup-based for WWW (e.g.

Dreamweaver)

May require some programming in a scripting language to provide interactivity

Behaviours provide prefabricated parameterized actions

2

Applications for combining media types

'Authoring systems'

Timeline-based (e.g. Director)

Markup-based for WWW (e.g.

Dreamweaver)

May require some programming in a scripting language to provide interactivity

Behaviours provide prefabricated parameterized actions

Software Requirements

48

Applications for combining media types

'Authoring systems'

Timeline-based (e.g. Director)

Markup-based for WWW (e.g.

Dreamweaver)

May require some programming in a scripting language to provide interactivity

Behaviours provide prefabricated parameterized actions

(22)

Local area networks (LANs) connect several computers on one site (Ethernet)

LANs connected together by routers, bridges and switches form an internet

The Internet is a global network of networks (internet) communicating via TCP/IP protocols

Mostly operated by commercial Internet Service Providers (ISPs)

Domestic users connect via telephone, cable or satellite

Networks

Local area networks (LANs) connect several computers on one site (Ethernet)

LANs connected together by routers, bridges and switches form an internet

The Internet is a global network of networks (internet) communicating via TCP/IP protocols

Mostly operated by commercial Internet Service Providers (ISPs)

Domestic users connect via telephone, cable or satellite

2

Local area networks (LANs) connect several computers on one site (Ethernet)

LANs connected together by routers, bridges and switches form an internet

The Internet is a global network of networks (internet) communicating via TCP/IP protocols

Mostly operated by commercial Internet Service Providers (ISPs)

Domestic users connect via telephone, cable or satellite

Networks

50

Local area networks (LANs) connect several computers on one site (Ethernet)

LANs connected together by routers, bridges and switches form an internet

The Internet is a global network of networks (internet) communicating via TCP/IP protocols

Mostly operated by commercial Internet Service Providers (ISPs)

Domestic users connect via telephone, cable or satellite

(23)

Dial-up connection uses modem and analogue telephone line

V90 modem, 56kbps maximum

Broadband always-on digital connection (may be as little as 512kbps, not true broadband)

ADSL

Cable

Satellite

Dedicated line (T1, T3)

Internet Acess

Dial-up connection uses modem and analogue telephone line

V90 modem, 56kbps maximum

Broadband always-on digital connection (may be as little as 512kbps, not true broadband)

ADSL

Cable

Satellite

Dedicated line (T1, T3)

2

Dial-up connection uses modem and analogue telephone line

V90 modem, 56kbps maximum

Broadband always-on digital connection (may be as little as 512kbps, not true broadband)

ADSL

Cable

Satellite

Dedicated line (T1, T3)

Internet Acess

51–52

Dial-up connection uses modem and analogue telephone line

V90 modem, 56kbps maximum

Broadband always-on digital connection (may be as little as 512kbps, not true broadband)

ADSL

Cable

Satellite

Dedicated line (T1, T3)

(24)

(max)kbps 100kB image slow modem 28.8 1.5s

Download Times

slow modem 28.8 1.5s

fast modem 56 1s

T1 line 1544 <1s Typical

broadband 6000 <1s T3 line 44736 <1s

2

100kB

image 100kB

image 4MB movie

1.5s 28s 19mins

Download Times

53

1.5s 28s 19mins

1s 14s 9mins

<1s 1s 21s

<1s <1s 5s

<1s <1s 1s

(25)

Servers listen on a communication channel for requests from clients and send responses

Often servers (the programs) run on

dedicated machines, also referred to as servers

Clients run on separate machines (e.g.

desktop computer)

Interaction is governed by protocols

Clients and Servers

Servers listen on a communication channel for requests from clients and send responses

Often servers (the programs) run on

dedicated machines, also referred to as servers

Clients run on separate machines (e.g.

desktop computer)

Interaction is governed by protocols

2

Servers listen on a communication channel for requests from clients and send responses

Often servers (the programs) run on

dedicated machines, also referred to as servers

Clients run on separate machines (e.g.

desktop computer)

Interaction is governed by protocols

Clients and Servers

54

Servers listen on a communication channel for requests from clients and send responses

Often servers (the programs) run on

dedicated machines, also referred to as servers

Clients run on separate machines (e.g.

desktop computer)

Interaction is governed by protocols

(26)

HTTP – Hypertext Transfer Protocol

Client (Web browser) sends request for a Web page, server returns it (HTML document)

Identify server and location of page from a URL

http://domain name/path

e.g. http://www.digitalmultimedia.org/DMM/index.html

Server may create page dynamically

Communicates with other program via CGI etc

The World Wide Web

HTTP – Hypertext Transfer Protocol

Client (Web browser) sends request for a Web page, server returns it (HTML document)

Identify server and location of page from a URL

http://domain name/path

e.g. http://www.digitalmultimedia.org/DMM/index.html

Server may create page dynamically

Communicates with other program via CGI etc

2

HTTP – Hypertext Transfer Protocol

Client (Web browser) sends request for a Web page, server returns it (HTML document)

Identify server and location of page from a URL

http://domain name/path

e.g. http://www.digitalmultimedia.org/DMM/index.html

Server may create page dynamically

Communicates with other program via CGI etc

The World Wide Web

54–56

HTTP – Hypertext Transfer Protocol

Client (Web browser) sends request for a Web page, server returns it (HTML document)

Identify server and location of page from a URL

http://domain name/path

e.g. http://www.digitalmultimedia.org/DMM/index.html

Server may create page dynamically

Communicates with other program via CGI etc

(27)

Need to identify the type of media data in a data stream in a platform-independent way

MIME (Multipurpose Internet Mail Extension)

Originally designed to allow inclusion of data other than text in email, adopted by HTTP

Content-type: type/subtype

Types include text, image, audio, video,

application, subtypes define specific formats

e.g. text/html, image/gif

MIME Types

Need to identify the type of media data in a data stream in a platform-independent way

MIME (Multipurpose Internet Mail Extension)

Originally designed to allow inclusion of data other than text in email, adopted by HTTP

Content-type: type/subtype

Types include text, image, audio, video,

application, subtypes define specific formats

e.g. text/html, image/gif

2

Need to identify the type of media data in a data stream in a platform-independent way

MIME (Multipurpose Internet Mail Extension)

Originally designed to allow inclusion of data other than text in email, adopted by HTTP

Content-type: type/subtype

Types include text, image, audio, video,

application, subtypes define specific formats

e.g. text/html, image/gif

MIME Types

56–57

Need to identify the type of media data in a data stream in a platform-independent way

MIME (Multipurpose Internet Mail Extension)

Originally designed to allow inclusion of data other than text in email, adopted by HTTP

Content-type: type/subtype

Types include text, image, audio, video,

application, subtypes define specific formats

e.g. text/html, image/gif

(28)

"Standards are documented agreements

containing technical specifications … to be used consistently … to ensure that materials,

products, processes and services are fit for their purpose" (ISO)

Ensure things that conform to standards are interchangeable

Multimedia standards concern file formats,

markup languages etc, and especially network protocols

Standards

"Standards are documented agreements

containing technical specifications … to be used consistently … to ensure that materials,

products, processes and services are fit for their purpose" (ISO)

Ensure things that conform to standards are interchangeable

Multimedia standards concern file formats,

markup languages etc, and especially network protocols

2

"Standards are documented agreements

containing technical specifications … to be used consistently … to ensure that materials,

products, processes and services are fit for their purpose" (ISO)

Ensure things that conform to standards are interchangeable

Multimedia standards concern file formats,

markup languages etc, and especially network protocols

Standards

57–58

"Standards are documented agreements

containing technical specifications … to be used consistently … to ensure that materials,

products, processes and services are fit for their purpose" (ISO)

Ensure things that conform to standards are interchangeable

Multimedia standards concern file formats,

markup languages etc, and especially network protocols

(29)

ISO (International Organization for Standards)

All technical fields except electrical and electronic engineering

IEC (International Electrotechnical Commission)

ITU (International Telecommunications Union)

IT dealt with by joint ISO/IEC technical committee

Standards Organizations

ISO (International Organization for Standards)

All technical fields except electrical and electronic engineering

IEC (International Electrotechnical Commission)

ITU (International Telecommunications Union)

IT dealt with by joint ISO/IEC technical committee

2

ISO (International Organization for Standards)

All technical fields except electrical and electronic engineering

IEC (International Electrotechnical Commission)

ITU (International Telecommunications Union)

IT dealt with by joint ISO/IEC technical committee

Standards Organizations

58–59

ISO (International Organization for Standards)

All technical fields except electrical and electronic engineering

IEC (International Electrotechnical Commission)

ITU (International Telecommunications Union)

IT dealt with by joint ISO/IEC technical committee

(30)

Internet Architecture Board (IAB)

Internet Engineering Task Force (IETF) deals with technical development

Internet Assigned Numbers Authority (IANA) registers MIME types, language codes, etc

World Wide Web Consortium (W3C)

No official status, but Recommendations are treated as standards for the WWW

Internet Standards

Internet Architecture Board (IAB)

Internet Engineering Task Force (IETF) deals with technical development

Internet Assigned Numbers Authority (IANA) registers MIME types, language codes, etc

World Wide Web Consortium (W3C)

No official status, but Recommendations are treated as standards for the WWW

2

Internet Architecture Board (IAB)

Internet Engineering Task Force (IETF) deals with technical development

Internet Assigned Numbers Authority (IANA) registers MIME types, language codes, etc

World Wide Web Consortium (W3C)

No official status, but Recommendations are treated as standards for the WWW

Internet Standards

60

Internet Architecture Board (IAB)

Internet Engineering Task Force (IETF) deals with technical development

Internet Assigned Numbers Authority (IANA) registers MIME types, language codes, etc

World Wide Web Consortium (W3C)

No official status, but Recommendations are treated as standards for the WWW

Referensi

Dokumen terkait

DEEP LEARNING IN DATA STREAMS ● The task of data-stream learning is to learn some classifier h to provide a classification for each ˆyt+1 for each xt+1.. ● Generalise to

OCT examinaton at initial visit for case 3 showed increased thickness of superior and inferior retinal nerve fiber layer both eyes... Automated perimetry at initial visit for case 3