YouTube Search Engine Optimization Tips 2016


YouTube Search Engine Optimization Tips 2016
YouTube Search Engine Optimization Tips 2016
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Video optimization refers to a set of technologies used by mobile service providers to improve consumer viewing experience by reducing video start times or re-buffering events. The process also aims to reduce the amount of network bandwidth consumed by video sessions.[1]

While optimization technology can be applied to videos played on a variety of media-consuming devices, the costliness of mobile streaming and increase in mobile video viewers has created a very high demand for optimization solutions among mobile service providers.[2]

When streaming over-the-top (OTT) content and video on demand, systems do not typically recognize the specific size, type, and viewing rate of the video being streamed. Video sessions, regardless of the rate of views, are each granted the same amount of bandwidth. This bottlenecking of content results in longer buffering time and poor viewing quality.[3] Some solutions, such as upLynk and Skyfire’s Rocket Optimizer, attempt to resolve this issue by using cloud-based solutions to adapt and optimize over-the-top content.
Adaptive bitrate (ABR) video streaming technology was implemented to solve some of the challenges with streaming high bitrate videos.

Videos streamed using traditional formats such as progressive download and RTSP have a common challenge; any given video must be encoded at a specific target bitrate (e.g., 500 kbps) – and that is the bitrate regardless of the access network over which it is delivered.

If the chosen target bitrate is too high, the video will not be delivered smoothly over lower-speed networks and there will be slow start times and re-buffering throughout the video. Even on fast networks like LTE 4G, slow start times and re-buffering will occur during times of congestion or high network utilization.

If the chosen bitrate is low, on the other hand, the video quality will be lower – thereby reducing the customer’s quality of experience.

There are a number of ways of dealing with these challenges. One way is to take the YouTube approach. YouTube uses HTTP progressive download, and makes multiple versions of the video available at different resolutions and bitrates. Users themselves can then select the quality / bitrate that works best for them. If stalling or rebuffering occur, then can select the next lower resolution and continue viewing the video.

Adaptive bitrate effectively automates these resolution / quality adjustments on behalf of the user. Each ABR video is encoded at multiple bitrates, each broken into “chunks” of varying lengths (e.g., Apple’s HTTP Live Streaming generally uses 10s chunks). If network bandwidth is insufficient to deliver the video at this bitrate, the client will request the next “chunk” to be at a lower bitrate; quality of video will be reduced, but re-buffering will be avoided. Conversely, if the network can deliver at higher than the current bitrate, the client will request the next chunk to be at a higher bitrate, and quality will increase

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YouTube Search Engine Optimization Tips 2016
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