This is a general summary of the important relationships at the heart of a design and development project.

Site Evaluation: Layout

January 6, 2010


Evaluate the layout of three websites in terms of

  • Visual heirarchy
  • Balance
  • White Space
  • Unity
  • Grids

Site Evaluation: Typography

January 6, 2010


Evaluate the use of typography for three websites in terms of aspects such as

  • Typeface.
  • Typographic contrast & flow
  • Kerning
  • Leading

College Life Project

November 26, 2009


Audio visual project brief  for HN Unit Audio & Video 1 DF66 34

Camerawork – still images 1

November 26, 2009


Take 8 shots using a still image camera.

They have to demonstrate the following techniques

3 images showing examples of the Rule of thirds

3 – Images showing use of framing – ie close up; medium close up ; long shot.

2 – Angled shots – ie high angle, low angle, dutch tilt.

Size the images to have a maximum width of 800 pixels

Put the images into a presentation demonstrating the different techniques you have used.

Zoom Movie Project

September 29, 2009


Zoom into the College from outer space.

Base your ideas on the Powers of 10 movie.

Do some research and have a look at other similar examples.

Example 1

Example 2 using Google Earth

Example 3 From Quark to outer space

Use images or videos from online sources along with some video you have shot.

Your video needs to follow standard shot types ie long shot, medium close up , close up and so forth.

Check out my camera shots post

Include appropriate sound effects for each level of zoom.

How you end the movie is up to you.

Imaging Basics

November 11, 2008


 

Digital Imaging Basics

 

Pixels

A digital image is made up from a grid of pixels also known as picture elements. Every pixel is square in shape and is the same size. To create the image they are positioned in rows and columns to form a grid.  Each pixel can be assigned a specific colour value, however, there is no variation in colour or brightness across a pixel.

Image quality is directly related to aspects such as

  • Number of pixels used to create the image.
  • The size of the pixels.
  • The number of tones or colours available for a pixel to use.

Images represented by a grid of pixels are also known as raster or bitmap graphics.

     
     
     

3×3 grid

 

 

Colour models

Colour models are a formal means of describing colours using numerical values or colour components.

There are different types of colour models for different types of applications.

The RGB colour model is useful for computer graphics as it works in a similar manner to your eye.  It is based on the 3 primary colours.

Red
Green
Blue

These are mixed together to produce the desired colour.  This is known as an additive colour model. All the colours of the spectrum can be created by mixing red green and blue light together in different proportions . 

When red green and blue are mixed together in equal amounts they produce white light.

The CMYK model is used in the print industry and uses the colours cyan, magenta, yellow and black. 

It is known as a subtractive colour model where some wavelengths of light are absorbed whilst some are reflected.

200px-additivecolormixingAdditive

cmyk_color_swatches

Cyan, magenta, yellow & Key (Black)

100px-subtractivecolormixing

Subtractive

 

RGB Channels & Bit Depth

For computer display purposes a pixel can be regarded as having a red, green and blue channel.

Each pixel is typically allocated 24 bits of memory split into 8 bits for each red, green and blue channel. This is known as the colour depth (or more commonly bit depth) of the image.  A 24 bit image (8 bits x 3 channels) will usually produce a good quality colour image.  This gives 256 possible values for each colour channel which, when mixed together, means that approximately 16.7 million possible colours variations could be displayed by a pixel.

RGB channels R G B
Red 255 0 0
Green 0 255 0
Blue 0 0 255
Cyan 0 255 255
Magenta 255 0 255
Yellow 255 255 0
Black 0 0 0
White 255 255 255
Mid grey 127 127 127

Note that other bit depths are possible depending on the image quality and file sizes that you want to work with.  For example, images of 48 bit depth can be created for high end work where each channel is assigned 16 bits of memory. 

200px-colourshadingColour wheel 
 

Hue Saturation & Brightness

The terms hue, saturation and brightness can be used to describe three basic characteristics of colour.

Hue The name of the colour.  Can be precisely defined by its location as a angle on the standard colour wheel. 
Saturation Refers to the intensity of a specific hue. It describes how pure the colour is.  For example if red is mixed with grey it is still red, but is less saturated.  Saturation increases moving from the centre of a standard colour wheel. 
Brightness Is the relative perception of lightness or darkness of a colour.  In more technical terms it can be regarded as mean of the RGB colour coordinates in the RGB colour space.

Also known as the HSV colour space it can be a useful alternative to the RGB and CMYK colour models as it describes colour using terms that are more familiar to humans.

 02hue

Hue

 

01saturation_rgb

Saturation

02brightness

Brightness

hsv_sample

HSV colour model

 

File formats

The data for an image file can be stored in a large number of different formats. Compared with text digital images can create large files sizes and large amounts of computer memory can be needed to display, store or print an image. Many file formats a use different techniques to reduce the file size.  This is commonly known as compression. In addition to this each format has its own set of benefits and drawbacks which lend themselves to different applications.

JPEG Pronounced Jay-Peg, it is an industry wide standard for compressing photographs. It is a “lossy compression” where different levels of compression can be applied with a trade off between size and image quality. Stands for Joint Photographic Experts Group 
TIFF Tagged Image File Format. Commonly used in the print industry for raster graphics.  Is a lossless compression format.  Can handle multiple images and data within a file. 
PNG Portable Network Graphics is a lossless format design to replace and improve upon the GIF format.  Becoming common on web pages. 
PSD Adobe Photoshop file format.  Useful for keeping a master file, especially when using layers.
 
 

Resolution

Describes the level of detail within an image.  The higher the resolution the greater the image detail.  The greater the number of pixels that are used to create the image at the scanning or capture stage the better the quality, or resolution, of the image.  Note that file size also increases as resolution increases! Common ways to describe resolution include

  • Pixel rows times pixel columns i.e. 800 x 600
  • Pixel rows and columns multiplied together i.e. 1 Megapixel
  • Pixels per unit area i.e. pixels per inch or ppi

Example

Say a 1 inch square image is scanned at a resolution of 10 ppi.

The image will be described using a 10 x 10 pixel grid giving 100 pixels in total.  When displayed at same size on screen each pixel will measure 1/10 of an inch.

If the same image is scanned at 20 ppi we get a 20 x 20 grid of pixels where the image is made up of 400 pixels each measuring 1/20 of an inch.

And so resolution (and image quality) can be increased by increasing the resolution. 

Resolution at input is usually governed by the resolution of the output device such as a screen or printer.  Say, if the scan resolution exceeds the resolution required by the printer to produce its best quality output then the extra resolution is wasted.  

A pixel has no fixed size, its size is dependent on the output size of the image.

Once you have captured your image the number of pixels remains fixed.  For example, say you scan a 3X2 inch image at 100 ppi. This give you an image that measures 300 x 200 pixels.  If you were to increase the size of the image to 6 x 4 inches you will effectively reduce the resolution to 50 ppi This is because the same number of pixels are being used to display a larger version of the image, so they also have to get bigger. 

As you increasingly reduce the resolution of an image (by increasing its size) the pixels will start to become visible and the image is said to be pixelated.

For a hardcopy output printers transfer ink onto the paper as dots not squares like pixels.  This is defined as dots per inch dpi.  Many more dots are required to print an image than pixels to display it on a screen.  As a rough guide divide printer output resolution by 3 to get the optimum input resolution say for a scanner.

res55

res10101
res2020
res5050
res1001001
 

cb ver 0206

Framing – Rule of Thirds

September 22, 2008


Grid method for composing and framing a shot.

Wikipedia definition

An image can be divided into nine equal parts by two equally-spaced horizontal lines and two equally-spaced vertical lines

Activity

Find 3 different examples of the use of the Rule of Thirds in a photograph or video. Present your findings in an appropriate manner such as paper print out or a video playlist.

Camera Shots

September 12, 2008


An object filmed at different scales can take on different meanings which can help tell the story and adds visual variation.

Extreme Long shot

Scale of objects is small, crowd of people or landscape would fill the frame.

Often used as an establishing shot

Eg College from Asda car park

Long Shot

Framing in which a human would fill height of screen

Scale of object is small allows people to move around within the frame

Eg Shot from bus stop of students crossing at traffic lights. People in a line

Medium Long Shot

Object is 4 of 5 feet high in the frame, people cut off at knees

Eg – two people having a conversation
People entering and leaving a building

Medium Close Up

A framing in which the scale of the object shown is fairly large; a human figure seen from the chest up would fill most of the screen.

Eg – People sitting at a table or couple kissing or talking

Close Up

Framing in which object is relatively large, persons head or similar sized object fills the screen

Eg Someone smoking, working at a computer – looking at something off screen

 Extreme Close Up

Scale of the object is very large in the frame usually part of a body or as small object

Eg Hands at a keyboard, or eyes

Exercises

1 Use a still camera to create examples of the above

Edit and present your images with headings using word processor or presentation software

2 Use video camera to create examples of above

Capture and edit your shots in premier along with titles introducing each shot.

 References

Yale Fim Analysis