Month: March 2017

FMP: Strengths and Weaknesses


  1. I love to edit and i am good at editing
  2. Interviewing people
  3. White balancing cameras to get good lighting
  4. I am alright at acting



  1. Directing
  2. Camera filming
  3. Being in charge
  4. Organisation
  5. Essay writing
  6. Reflective Writing

Rationale and Concept

  1. Rationale – plan
  2.  What have you learnt? – Camera, edit, theory (pre-shoot post) Look at blog for this.
  3. How you intend to employ it. – Location? Studio.

The plan for my final major project was to film in the studio for the entire shoot to shoot an interview. I have learnt how to change the aperture on the camera to focus on certain things whilst blurring other parts of the clip. I have also learnt about white balance. The white balance ensures all of the video is the colour it is in real life. I have learnt how to make a good risk assessment and storyboard to ensure that all health and safety aspects were taken care of and the storyboard really helps to plan what your project will look like including the different shot types to make it easier when you film. In editing, I learnt how to add bin structures to organise your clips which I will need to do when filming my final project. I also learnt about using interview techniques to ensure we can get future jobs which helped build our confidence.

  1. Concept – Idea
  2. Why is it you are doing this? Project? Role?
  3. What story am i telling? Angle? Punchline?
  4. Audience
  5. The future of my idea

The concept of my project is to film an interview based on the programme, Teen Wolf. It will be me interviewing someone about the programme from a fans perspective, however little will the interviewer know that the ‘fan’ they will be interviewing is actually a real life wolf too. I decided to do this because I have a big interest in interviewing people and I really love editing videos which interviews use a lot of editing. The story I am telling is that you shouldn’t trust people fully that you have only just met because people you may thought were your friends can just turn their backs on you. The audience I aim to target my piece on will be both genders but mostly teenagers aged between 13 and 19. My project

9/3/17 – Resolution and Compression

DSLR – Compression

1080p – True HD

720p – True HD                   YouTube


Codec (Code and Decode)

Lucas Film wanted to create a digital compressed file format in the 90’s.

Cinepak was a company who would code and decode (make a file you could create)

H.265 – Lucas film created H.265 (Small file sizes with very good resolution) – You can burn it to a CD/DVD and YouTube.


Audio Lossy Files – .mp3 (moving pictures experts group)


.ac3 (DVD)

Video Lossy Files – .mp4


Lossy compression means you cannot return to the original file.

Lossless – Quicktime, Movie File


Lossless compression – Uncompressed

File size – Large file sizes

Audio and Video playing at the same time – Muxed (When exporting the files in editing when using audio and video this is called muxed).

DVD playable on a device – .m2v (video) and .ac3 (audio) and they become .mts but these aren’t muxed.

Kodi Krypton 17.1 – Software that searches for repository (.zip) Config Wizard – Add-ons like exodus


Camera – DSLR, Red and black magic camera

RAW files – 4:4:4 (This means that whatever the camera is recording is actually lossless)

2k frame size – HD not raw 1920 x 1080)

4k frame size – 4096 x 2160

5k frame size – 5120 x 3840

Red code raw

The camera can be red 1, red epic and now red dragon – Adobe Premiere – Very large files which means you will need lots of storage – at least 32gb SDHC card.


Alexa Camera

Black Magic Camera – records 16bit 4:4:4 – the raw files of the black magic camera are lossless (4k)red-dragon-w-lens-matte-box-590x340Red DragonIMG_8518Red Epic

K10128-4.gifRed One


Audio – Uncompressed (lossless)

PC – .wav

MAC – .aif

LPCM  – Linear Pulse Code Modulation

16 bit 2 channels (left and right) and each of those is 44,100Hz (44.1Khz)

Sine Wave – Analogue – Amplitude and Bits (The different heights will change in audio)


16 bit sample

The more bits, the better quality of sounds.


Screen Shot 2017-03-09 at 10.41.35

Screen Shot 2017-03-09 at 10.45.34

Press the alt key then the curly bracket in (next to P key) and alt curly bracket out to start and stop sequence.

Screen Shot 2017-03-09 at 10.48.08Cmd M keys

Screen Shot 2017-03-09 at 10.49.11  Choose the format.  H.264

Screen Shot 2017-03-09 at 10.54.11 Click on Queue at the bottom of the settings.

Screen Shot 2017-03-09 at 10.55.54 Click on the play button when this appears.

Screen Shot 2017-03-09 at 10.59.19 Add a new bin at the bottom and import the file into it.

Screen Shot 2017-03-09 at 10.59.34Screen Shot 2017-03-09 at 10.59.58

My teaser trailer will feature lots of drama to add suspense when it features the howl of a wolf at the end during the interview with suspenseful and tense music, building up gradually to the howl at the end. The screen will fade to black at the end and have titles on some clips which have rhetorical questions like “Will she get out alive?” and things.

Black Balance and White balance

Colour temperature 


Saturation (100%)

Temperature – William Kelvin (K)

At the lowest temperature, there is red colour first. This increases and we go to yellow and at the highest temperatures, we have blue.

Absolute zero – -273 degrees celsius = 0 degrees Kelvin.

AWB – Auto White Balance

3000k – 7000k

(3000k) Tungsten (indoor light)

(7000k) Hazy Sky

Minimum Kelvin source of light – Candle – Under 1000k

Maximum Kelvin source of light – Clear blue sky – 10,000k



Colour & Cameras


Horses & cows – see in black and white


Evolution – Herbivore – see in green

Humans – see in colour

Cones in our eyes receive in red but its actually green with some yellow.



Opsin Apoprotein

It picks up short, medium and long wavelengths.- RGB (Red, Green, Blue)

Camera Sensor 

CCD’s  – Charge Couple Device

  • This is a ‘chip’ in the camera

It used to be 3 CCD’s – One for each colour of RGB. This is a component signal.

Anamorphic  – The image is scaled *squashed in* (Change in X & Y axis) – 4:3 (HD – 1080 X 1920)


Silicon wafer is sensitive to light – Photolithography

Creation of very small circuits

Photons will actually create a well when it hits it. The well is known as a pixel which creates a charge output.

Analogue device – Mosaic of filters over the silicon of which there’s twice as many green to one red and one blue.

These pixels can either be red or green or blue.

Images 3x mostly red, green, blue




CMOS – Larger pixels and size of the area

DSLR – Dynamic range and the noise

Dynamic Range – Colour (wavelengths)

The larger a pixel, the more light it can collect.

The sensor itself, because of charge, creates noise.

Want a cleaner image.

Low f number – low light but larger aperture.

Noise reduction technology.

Larger pixels contain more light. This means the pixel is unlikely to become full so the pixel will be able to receive more tonal values.

More tonal value for RBG: (darker)



Brainstorm -teaser – location, f shutter (ISO)

I am recording a video teaser for my documentary and interview for Teen Wolf. The primary colours would be mainly black and white because it is filmed mostly at night. The ISO would be high because it is filmed mainly in the dark. The interview will be asking people questions about Teen Wolf and things and some would have seen the programmes and some wouldn’t but then you would hear a wolf growling quietly and by the end it gets louder and cuts to black.  The aperture would be small because it is filmed with little light. The shutter speed would be fast.

DSLR Sensor


CMOS – Charge – Digital signal (Ones and Zeros)

DSLR sensor is 36 x 24mm in Canon 5D.

Full frame.

A- Mosaic – Bayer GRBG

B – Anti alias filter – (maintains sharpness)

C – Infrared sensitive ‘hot mirror’

D – Circuitry

  • The filter to prevent the infrared from entering the camera.

E – Pixel = Photodetect – Capturing photons that releases electrons from silicon and the electricity forms a charge.

F – Micro lenses funnel the light to the pixel avoiding circuitry.

G – Black pixels make a rough estimate as to the amount of noise and subtracts from all colour pixels. So therefore, we have a cleaner image.