By Wallace Jackson
Android Studio New Media basics is a brand new media primer masking strategies primary to multimedia construction for Android together with electronic imagery, electronic audio, electronic video, electronic representation and 3D, utilizing open resource software program applications comparable to GIMP, Audacity, Blender, and Inkscape. those specialist software program applications are used for this publication simply because they're unfastened for advertisement use. The booklet builds at the foundational thoughts of raster, vector, and waveform (audio), and will get extra complex as chapters growth, protecting what new media resources are top to be used with Android Studio in addition to key components in regards to the facts footprint optimization paintings procedure and why new media content material and new media info optimization is so vital.
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Extra resources for Android Studio New Media Fundamentals: Content Production of Digital Audio/Video, Illustration and 3D Animation
Draw 9-patch preview shows axis-independent scaling You can also see the padding areas that I have defined, using the one-pixel black border lines on the right and the bottom of the editing pane. Figure 2-3 shows that I’m in the process of drawing a one-pixel black border line segment on the bottom side to define an X dimension for the center padding area for a 9-patch image. Summary In the second chapter, you took a look at digital image concepts, terms, and Android classes that implement image assets.
Sampling is the process of slicing an audio wave into segments, so that you can store the shape of that wave as digital audio data by using a digital audio format. This turns an infinitely accurate sound wave into a discreet amount of digital data; that is, into zeroes and ones. The more zeroes and ones used, the more accurate the reproduction of the infinitely accurate (original) analog sound wave. The sample accuracy or resolution determines the number of zeroes and ones used to reproduce the analog sound wave (you will get to that topic next).
This is logical because each of these pixels needs to be stored, along with the color values for each of the RGB color channels. Thus, the smaller you can make your image resolution, while still having good detail, the smaller the resulting file size will be, because there is less data to be compressed, as an image is simply an array of pixel values. As you know, a raw uncompressed image size is calculated using the formula width × height × color channels. There are three RGB color channels for 24-bit RGB images and there are four ARGB color channels for 32-bit imagery.
Android Studio New Media Fundamentals: Content Production of Digital Audio/Video, Illustration and 3D Animation by Wallace Jackson