[Bitrate For Streaming 1080p 60 Fps Pc

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Jun 6, 2024, 11:12:59 PM6/6/24
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Live Streaming Bitrate Calculator is a tool that helps you calculate the recommended and maximum bitrate for your Live Stream in order to make sure that your viewers can watch your stream without buffering or lag. Using our bitrate calculator you can get the accurate video bitrate and audio bitrate required for live streaming and video hosting.

Bitrate is the rate at which you send bits to the streaming platform. It measures how much data of your audio and video information is transmitted in a given amount of time. Audio bitrate and video bitrate are commonly measured in kilobits per second (kbps) and megabits per second (Mbps). The higher the bitrate, the faster your internet connection when streaming video content online with video streaming software.

bitrate for streaming 1080p 60 fps pc


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Frames per second (FPS), also known as frame rate, is the frequency of consecutive images called frames appearing on display. The higher number of FPS means smoother motion and less lag time between each image change. The most common frame rates are 30 fps for standard video, and 60 fps for high-definition displays

On the other hand, HD video resolution refers to high definition. This is the newer line of video resolutions that have become popular in recent times, and it offers a much more detailed picture than SD because it uses more pixels.

While in the past most video or audio streaming technologies utilized streaming protocols such as RTP with RTSP, today's adaptive streaming technologies are based almost exclusively on HTTP,[1] and are designed to work efficiently over large distributed HTTP networks.

Adaptive bitrate streaming works by detecting a user's bandwidth and CPU capacity in real time, adjusting the quality of the media stream accordingly.[2] It requires the use of an encoder which encodes a single source media (video or audio) at multiple bit rates. The player client[3] switches between streaming the different encodings depending on available resources.[4] This results in providing very little buffering, faster start times and a good experience for both high-end and low-end connections.[5]

More specifically, adaptive bitrate streaming is a method of video streaming over HTTP where the source content is encoded at multiple bit rates. Each of the different bit rate streams are segmented into small multi-second parts.[6] The segment size can vary depending on the particular implementation, but they are typically between two and ten seconds.[4][6] First, the client downloads a manifest file that describes the available stream segments and their respective bit rates. During stream start-up, the client usually requests the segments from the lowest bit rate stream. If the client finds that the network throughput is greater than the bit rate of the downloaded segment, then it will request a higher bit rate segment. Later, if the client finds that the network throughput has deteriorated, it will request a lower bit rate segment. An adaptive bitrate (ABR) algorithm in the client performs the key function of deciding which bit rate segments to download, based on the current state of the network. Several types of ABR algorithms are in commercial use: throughput-based algorithms use the throughput achieved in recent prior downloads for decision-making (e.g., throughput rule in dash.js), buffer-based algorithms use only the client's current buffer level (e.g., BOLA[7] in dash.js), and hybrid algorithms combine both types of information (e.g., DYNAMIC[8] in dash.js).

Post-production houses, content delivery networks and studios use adaptive bit rate technology in order to provide consumers with higher quality video using less manpower and fewer resources. The creation of multiple video outputs, particularly for adaptive bit rate streaming, adds great value to consumers.[9] If the technology is working properly, the end user or consumer's content should play back without interruption and potentially go unnoticed. Media companies have been actively using adaptive bit rate technology for many years now and it has essentially become standard practice for high-end streaming providers; permitting little buffering when streaming high-resolution feeds (begins with low-resolution and climbs).

Traditional server-driven adaptive bitrate streaming provides consumers of streaming media with the best-possible experience, since the media server automatically adapts to any changes in each user's network and playback conditions.[10] The media and entertainment industry also benefit from adaptive bitrate streaming. As the video space grows, content delivery networks and video providers can provide customers with a superior viewing experience. Adaptive bitrate technology requires additional encoding, but simplifies the overall workflow and creates better results.

HTTP-based adaptive bitrate streaming technologies yield additional benefits over traditional server-driven adaptive bitrate streaming. First, since the streaming technology is built on top of HTTP, contrary to RTP-based adaptive streaming, the packets have no difficulties traversing firewall and NAT devices. Second, since HTTP streaming is purely client-driven, all adaptation logic resides at the client. This reduces the requirement of persistent connections between server and client application. Furthermore, the server is not required to maintain session state information on each client, increasing scalability. Finally, existing HTTP delivery infrastructure, such as HTTP caches and servers can be seamlessly adopted.[11][12][13][14]

A scalable CDN is used to deliver media streaming to an Internet audience. The CDN receives the stream from the source at its Origin server, then replicates it to many or all of its Edge cache servers. The end-user requests the stream and is redirected to the "closest" Edge server. This can be tested using libdash[15] and the Distributed DASH (D-DASH) dataset,[16] which has several mirrors across Europe, Asia and the US. The use of HTTP-based adaptive streaming allows the Edge server to run a simple HTTP server software, whose licence cost is cheap or free, reducing software licensing cost, compared to costly media server licences (e.g. Adobe Flash Media Streaming Server). The CDN cost for HTTP streaming media is then similar to HTTP web caching CDN cost.

Adaptive bit rate streaming was introduced by Move Networks and is now being developed and utilized by Adobe Systems, Apple, Microsoft and Octoshape.[18] In October 2010, Move Networks was awarded a patent for their adaptive bit rate streaming (US patent number 7818444).[19]

Dynamic Adaptive Streaming over HTTP (DASH), also known as MPEG-DASH, is the only adaptive bit-rate HTTP-based streaming solution that is an international standard[20]MPEG-DASH technology was developed under MPEG. Work on DASH started in 2010 and became a Draft International Standard in January 2011 and an International Standard in November 2011.[20][21][22] The MPEG-DASH standard was published as ISO/IEC 23009-1:2012 in April, 2012.

MPEG-DASH is a technology related to Adobe Systems HTTP Dynamic Streaming, Apple Inc. HTTP Live Streaming (HLS) and Microsoft Smooth Streaming.[23] DASH is based on Adaptive HTTP streaming (AHS) in 3GPP Release 9 and on HTTP Adaptive Streaming (HAS) in Open IPTV Forum Release 2.[24]As part of their collaboration with MPEG, 3GPP Release 10 has adopted DASH (with specific codecs and operating modes) for use over wireless networks.[24]

Available implementations are the HTML5-based bitdash MPEG-DASH player[25] as well as the open source C++-based DASH client access library libdash of bitmovin GmbH,[15] the DASH tools of the Institute of Information Technology (ITEC) at Alpen-Adria University Klagenfurt,[3][26] the multimedia framework of the GPAC group at Telecom ParisTech,[27] and the dash.js[28] player of the DASH-IF.

HTTP Live Streaming (HLS) is an HTTP-based media streaming communications protocol implemented by Apple Inc. as part of QuickTime X and iOS. HLS supports both live and Video on demand content. It works by breaking down media streams or files into short pieces (media segments) which are stored as MPEG-TS or fragmented MP4 files. This is typically done at multiple bitrates using a stream or file segmenter application, also known as a packager. One such segmenter implementation is provided by Apple.[29] Additional packagers are available, including free / open source offerings like Google's Shaka Packager [30] and various commercial tools as well - such as Unified Streaming.[31] The segmenter is also responsible for producing a set of playlist files in the M3U8 format which describe the media chunks. Each playlist is specific to a given bitrate, and contains the relative or absolute URLs to the chunks for that bitrate. The client is then responsible for requesting the appropriate playlist depending on available bandwidth.

HLS streams can be identified by the playlist URL format extension of .mw-parser-output .monospacedfont-family:monospace,monospacem3u8 or MIME type of application/vnd.apple.mpegurl.[34] These adaptive streams can be made available in many different bitrates and the client device interacts with the server to obtain the best available bitrate which can reliably be delivered.

Playback of HLS is supported on many platforms including Safari and native apps on macOS / iOS, Microsoft Edge on Windows 10, ExoPlayer on Android, and the Roku platform. Many Smart TVs also have native support for HLS. Playing HLS on other platforms like Chrome / Firefox is typically achieved via a browser / JavaScript player implementation. Many open source and commercial players are available including hls.js, video.js http-streaming, BitMovin, JWPlayer, THEOplayer, etc.

"HTTP Dynamic streaming is the process of efficiently delivering streaming video to users by dynamically switching among different streams of varying quality and size during playback. This provides users with the best possible viewing experience their bandwidth and local computer hardware (CPU) can support. Another major goal of dynamic streaming is to make this process smooth and seamless to users, so that if up-scaling or down-scaling the quality of the stream is necessary, it is a smooth and nearly unnoticeable switch without disrupting the continuous playback."[35]

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