COMPOSITION
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9 Best Hacks to Make a Cinematic Video with Any CameraRead more: 9 Best Hacks to Make a Cinematic Video with Any Camerahttps://www.flexclip.com/learn/cinematic-video.html - Frame Your Shots to Create Depth
- Create Shallow Depth of Field
- Avoid Shaky Footage and Use Flexible Camera Movements
- Properly Use Slow Motion
- Use Cinematic Lighting Techniques
- Apply Color Grading
- Use Cinematic Music and SFX
- Add Cinematic Fonts and Text Effects
- Create the Cinematic Bar at the Top and the Bottom
  
DESIGN
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Mike Wong – AtoMeow – A Blue noise image stippling in ProcessingRead more: Mike Wong – AtoMeow – A Blue noise image stippling in Processing https://github.com/mwkm/atoMeow https://www.shadertoy.com/view/7s3XzX This demo is created for coders who are familiar with this awesome creative coding platform. You may quickly modify the code to work for video or to stipple your own Procssing drawings by turning them into PImageand run the simulation. This demo code also serves as a reference implementation of my article Blue noise sampling using an N-body simulation-based method. If you are interested in 2.5D, you may mod the code to achieve what I discussed in this artist friendly article.Convert your video to a dotted noise. 
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Interactive Maps of Earthquakes around the worldRead more: Interactive Maps of Earthquakes around the worldhttps://ralucanicola.github.io/JSAPI_demos/earthquakes https://ralucanicola.github.io/JSAPI_demos/earthquakes-depth https://ralucanicola.github.io/JSAPI_demos/ridgecrest-earthquake https://ralucanicola.github.io/JSAPI_demos/last-earthquakes  
COLOR
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Colour – MacBeth Chart Checker DetectionRead more: Colour – MacBeth Chart Checker Detectiongithub.com/colour-science/colour-checker-detection A Python package implementing various colour checker detection algorithms and related utilities.  
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Pattern generatorsRead more: Pattern generatorshttp://qrohlf.com/trianglify-generator/ https://halftonepro.com/app/polygons# https://mattdesl.svbtle.com/generative-art-with-nodejs-and-canvas https://www.patterncooler.com/ http://permadi.com/java/spaint/spaint.html https://dribbble.com/shots/1847313-Kaleidoscope-Generator-PSD http://eskimoblood.github.io/gerstnerizer/ http://www.stripegenerator.com/ http://btmills.github.io/geopattern/geopattern.html http://fractalarchitect.net/FA4-Random-Generator.html https://sciencevsmagic.net/fractal/#0605,0000,3,2,0,1,2 https://sites.google.com/site/mandelbulber/home 
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Anders Langlands – Render Color SpacesRead more: Anders Langlands – Render Color Spaceshttps://www.colour-science.org/anders-langlands/ This page compares images rendered in Arnold using spectral rendering and different sets of colourspace primaries: Rec.709, Rec.2020, ACES and DCI-P3. The SPD data for the GretagMacbeth Color Checker are the measurements of Noburu Ohta, taken from Mansencal, Mauderer and Parsons (2014) colour-science.org. 
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THOMAS MANSENCAL – The Apparent Simplicity of RGB RenderingRead more: THOMAS MANSENCAL – The Apparent Simplicity of RGB Renderinghttps://thomasmansencal.substack.com/p/the-apparent-simplicity-of-rgb-rendering The primary goal of physically-based rendering (PBR) is to create a simulation that accurately reproduces the imaging process of electro-magnetic spectrum radiation incident to an observer. This simulation should be indistinguishable from reality for a similar observer. Because a camera is not sensitive to incident light the same way than a human observer, the images it captures are transformed to be colorimetric. A project might require infrared imaging simulation, a portion of the electro-magnetic spectrum that is invisible to us. Radically different observers might image the same scene but the act of observing does not change the intrinsic properties of the objects being imaged. Consequently, the physical modelling of the virtual scene should be independent of the observer. 
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What is a Gamut or Color Space and why do I need to know about CIERead more: What is a Gamut or Color Space and why do I need to know about CIE  http://www.xdcam-user.com/2014/05/what-is-a-gamut-or-color-space-and-why-do-i-need-to-know-about-it/ In video terms gamut is normally related to as the full range of colours and brightness that can be either captured or displayed. (more…)
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OLED vs QLED – What TV is better?Read more: OLED vs QLED – What TV is better?Supported by LG, Philips, Panasonic and Sony sell the OLED system TVs. 
 OLED stands for “organic light emitting diode.”
 It is a fundamentally different technology from LCD, the major type of TV today.
 OLED is “emissive,” meaning the pixels emit their own light.Samsung is branding its best TVs with a new acronym: “QLED” 
 QLED (according to Samsung) stands for “quantum dot LED TV.”
 It is a variation of the common LED LCD, adding a quantum dot film to the LCD “sandwich.”
 QLED, like LCD, is, in its current form, “transmissive” and relies on an LED backlight.OLED is the only technology capable of absolute blacks and extremely bright whites on a per-pixel basis. LCD definitely can’t do that, and even the vaunted, beloved, dearly departed plasma couldn’t do absolute blacks. QLED, as an improvement over OLED, significantly improves the picture quality. QLED can produce an even wider range of colors than OLED, which says something about this new tech. QLED is also known to produce up to 40% higher luminance efficiency than OLED technology. Further, many tests conclude that QLED is far more efficient in terms of power consumption than its predecessor, OLED. 
 (more…)
LIGHTING
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Polarised vs unpolarized filteringRead more: Polarised vs unpolarized filteringA light wave that is vibrating in more than one plane is referred to as unpolarized light. … Polarized light waves are light waves in which the vibrations occur in a single plane. The process of transforming unpolarized light into polarized light is known as polarization.  en.wikipedia.org/wiki/Polarizing_filter_(photography) The most common use of polarized technology is to reduce lighting complexity on the subject. (more…)
 Details such as glare and hard edges are not removed, but greatly reduced.
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What is physically correct lighting all about?Read more: What is physically correct lighting all about?http://gamedev.stackexchange.com/questions/60638/what-is-physically-correct-lighting-all-about 2012-08 Nathan Reed wrote: Physically-based shading means leaving behind phenomenological models, like the Phong shading model, which are simply built to “look good” subjectively without being based on physics in any real way, and moving to lighting and shading models that are derived from the laws of physics and/or from actual measurements of the real world, and rigorously obey physical constraints such as energy conservation. For example, in many older rendering systems, shading models included separate controls for specular highlights from point lights and reflection of the environment via a cubemap. You could create a shader with the specular and the reflection set to wildly different values, even though those are both instances of the same physical process. In addition, you could set the specular to any arbitrary brightness, even if it would cause the surface to reflect more energy than it actually received. In a physically-based system, both the point light specular and the environment reflection would be controlled by the same parameter, and the system would be set up to automatically adjust the brightness of both the specular and diffuse components to maintain overall energy conservation. Moreover you would want to set the specular brightness to a realistic value for the material you’re trying to simulate, based on measurements. Physically-based lighting or shading includes physically-based BRDFs, which are usually based on microfacet theory, and physically correct light transport, which is based on the rendering equation (although heavily approximated in the case of real-time games). It also includes the necessary changes in the art process to make use of these features. Switching to a physically-based system can cause some upsets for artists. First of all it requires full HDR lighting with a realistic level of brightness for light sources, the sky, etc. and this can take some getting used to for the lighting artists. It also requires texture/material artists to do some things differently (particularly for specular), and they can be frustrated by the apparent loss of control (e.g. locking together the specular highlight and environment reflection as mentioned above; artists will complain about this). They will need some time and guidance to adapt to the physically-based system. On the plus side, once artists have adapted and gained trust in the physically-based system, they usually end up liking it better, because there are fewer parameters overall (less work for them to tweak). Also, materials created in one lighting environment generally look fine in other lighting environments too. This is unlike more ad-hoc models, where a set of material parameters might look good during daytime, but it comes out ridiculously glowy at night, or something like that. Here are some resources to look at for physically-based lighting in games: SIGGRAPH 2013 Physically Based Shading Course, particularly the background talk by Naty Hoffman at the beginning. You can also check out the previous incarnations of this course for more resources. Sébastien Lagarde, Adopting a physically-based shading model and Feeding a physically-based shading model And of course, I would be remiss if I didn’t mention Physically-Based Rendering by Pharr and Humphreys, an amazing reference on this whole subject and well worth your time, although it focuses on offline rather than real-time rendering. 
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