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Bitmovin's Product Demo - On Demand (NAB Live Edition)

The focus of this lesson is one of the most commonly used video codecs - the advanced video codec (AVC), the history behind video coding standards and leads into the encoding algorithm behind AVC, frame intra prediction and entropy coding.

This lesson will cover the Advanced Video Codec (AVC), the most commonly used video codec on the internet. The lesson will cover a comparative history of video codecs and their performances. This is followed by a deep dive into AVC, also known as H264,  covering the codecs’ intra frames prediction mechanisms, quantization and DCT components. Lastly you’ll learn about the splitting of a frames into different macroblocks and how these can be efficiently encoded to preserve quality via deblocking and entropy coding.

Lesson Link 1.9  High-Efficiency Video Coding (HEVC)

Lesson 1.7 Basic video coding standards: MPEG-1

Lesson 1.8 Advanced Video Coding Standards: AVC

Lesson Video 1.8 Advanced video coding standards: AVC

High Efficiency Video Coding (HEVC) is a compression algorithm that encodes digital video with the aim of maximizing quality while minimizing file size. This lesson outlines the history of video codec standards, specifically HEVC and transitions into the current trends of online video distribution. From the technical perspective,Professor Timmerer provides an in-depth explanation of the HEVC block diagram and its video encoding algorithm. The process starts with splitting an image in Coding Tree Units (CTUs) or independent regions of pixel blocks, applying intra and inter frame prediction(s), and calculating the GOP structure (along with other aspects of video encoding). Lastly, the performance capabilities of HEVC and AVC are analysed and compared.

Lesson Link 1.8 Advanced video coding standards: AVC

Lesson 1.9 High-Efficiency Video Coding (HEVC)

Lesson Video 1.9  High-Efficiency Video Coding (HEVC)

This lesson will cover MPEG-1, the first standard of the series created by the Motion Pictures Experts Group in 1990 and a review of the others.

This lesson will cover MPEG-1, the first standard of the series standard created by the Motion Pictures Experts Group in 1990 and a review of the others. It will talk about the different video formats supported by MPEG-1, their use cases and touch on the differences between MPEG-1 and H:261. Also it will cover motion compensation for MPEG-1 and the transition of objects between different frames. Also showing in more details the sizes of frames in MPEG-1 and then giving a breakdown and explanation of the video bitstream - GOPs etc - structure of this standard.

Lesson 1.6 Basic Video Coding Standards: H.261

Lesson 1.7 Basic Video Coding Standards: MPEG-1

This lesson gets into how video encoding really works. We’ll take you through an introduction to video compression and encoding definitions.

This lesson gets into how video encoding really works. We’ll take you through an introduction to video compression and encoding definitions. We’ll then discuss motion compensation, what codecs are and frame types. Finally we’ll take you through some example Implementation schematics of I-Frames, P-Frames and B-Frames.

Lesson 1.5 Basic Video Compression Techniques

This lesson will cover the video formats supported by H.261. We’ll then get into frame sequencing and Intra-frame (I-frame) and Inter-frame (P-frame) coding which describe how frames in a video are compressed and encoded...

This lesson will cover the video formats supported by H.261. We’ll then get into frame sequencing and Intra-frame (I-frame) and Inter-frame (P-frame) coding which describe how frames in a video are compressed and encoded to reduce the file size and maximize perceived quality by the user. Then we’ll cover Predictive Coding, where a motion vector estimates the amount of changing pixels in successive macroblocks which make up a video frame. We will also cover quantization in H.261, which averages out small differences in adjacent and successive blocks arranged together in Group of Block (GOB) Structures. Then we’ll provide some insight into what bitrate is in video. 

This lesson will cover lossless compression and different encoding and decoding algorithms such as Huffman coding and Arithmetic Coding, with examples of each.

This lesson will cover lossless compression and different encoding and decoding algorithms such as Huffman coding and Arithmetic Coding. These compression algorithms encode an exact copy of the data which can be perfectly reconstructed at the decoding phase. We will go through an example of how each of these algorithms work by looking at a simple example of encoding and decoding with the word ‘HELLO’.

Lesson 1.2 Lossless Compression Algorithms

This lesson is about basic image formats. We will review some basic graphics and image representations, then we will move onto bit-grayscale images, 24-bit color images in 8-bit.

This lesson is about basic image formats. We will review some basic graphics and image representations, then we will move onto bit-greyscale images, 24-bit color images in 8-bit versions thereof.  Then finally, we will give an overview of selected image coding file formats including GIF, JPEG, PNG, TIFF, EXIF.

Lesson 1.1 Basic Image Formats

This lesson discusses image compression standards, focusing on the JPEG (Joint Photographic Experts Group) standard of image compression, which has been the industry standard since 1992 and is still actively used and deployed worldwide today.

This lesson discusses image compression standards, focusing on the JPEG (Joint Photographic Experts Group) standard of image compression, which has been the industry standard since 1992 and is still actively used and deployed worldwide today. We will be discussing the different steps in the JPEG image compression algorithm such as splitting the image up into blocks and averaging out the small color differences to take into account only the main transformations overtime.

Lesson 1.4 Image compression standards

In this lesson we’ll talk about lossy compression algorithms, and how it yields a much higher compression ratio than lossless compression with the goal of maximizing the compression ratio and minimizing distortion.

In this lesson we’ll talk about lossy compression algorithms, and how it yields a much higher compression ratio than lossless compression with the goal of maximizing the compression ratio and minimizing distortion. Lossy compression algorithms make use of different distortion measures such as the Mean Square Error or the Peak-Signal-to-Noise-Ratio (PSNR) to describe the quality of the video signal. These measures provide a coarse reference to the perceived quality by the user. Compressing a video this way involves multiple steps to reduce the amount of transmitted data while maximizing the fidelity to the original signal.

Lesson 1.3 Lossy Compression Algorithms

This course is designed to give you a quick introduction to the Video Developer Network and the motivation behind creating it.

This course is designed to give you a quick introduction to the Video Developer Network and the motivation behind creating it. The Bitmovin Developer Network was created to empower developers to learn about video streaming, to understand image and video compression fundamentals. We truly believe in open source and the importance of spreading this knowledge and information about video development to the world. The course will begin with the simple use of still image compression, progressing to live streaming as you embark on the path to becoming a fully fledged online video expert.

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