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We have already tangentially touched on the quality-of-experience issue earlier in this chapter. With most PC-based streaming media players currently available, it is not uncommon to experience momentary playback stuttering due to conflict for resources within the PC itself, poor continuity between back-to-back clips, pauses in playback due to network traffic bottlenecks, and failure of player buffering to recover after loss of data packets. The transport controls often fail to work well, with the response quite unlike what is expected for even the cheapest VCR. Streaming media players haven t produced good results to date (though newer generation players like RealNetworks RealOne and Microsoft s Corona may have solved these problems). At the encoding stage, poor deinterlacing of television images, motion jitter due to poor inverse telecine operations, and incorrect gamma correction are common faults in streaming video. Standards conversion and changing of frame rates and picture resolutions serve to degrade the streaming video presentation even further. There is often insufficient care taken to normalize audio levels from clip to clip as well, resulting in startling jumps in audio levels on playback. Using a streaming media player can be quite a painful experience, compared to watching TV. These faults come under the category of quality of experience. The painfulness doesn t apply to the technical quality of the video and audio played back, though this is important. Rather, it refers to how seamlessly and unobtrusively the technology works. Essentially, if you notice the artifacts or have to restart the player in order to watch something, the quality of experience is poor. For streaming media to win widespread consumer acceptance, these glitches will not be acceptable. The industry will have to work to present streaming media in a slick, professional way that is at least as good as television, if not better.
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Closely related to quality of experience and quality of video performance is quality of network service. The truth about packet switched networks such as the Internet is that, unless you add intelligence to guarantee quality of service, there are no guarantees. With a switched-circuit technology, once you established a connection, it was there. You only lost it
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if the connection subsequently broke. With IP transfers, each packet finds its own route. The problem is that parts of the network can clog and individual packets can get caught in router queues. The more hops the packet takes from source to consumer, the more queues the packet can get stuck in. Another factor that adversely affects quality of service on the Internet is the last mile of copper cabling that the phone company uses to deliver data. These local loops are often very old and not well maintained, so the connections can be electrically noisy, producing data packet loss. When most of the problem is due to the quality of the wiring from the phone company s exchange to the home, as is sometimes the case, even edge delivery networks cannot guarantee flawless streaming. Ideally, the connection to the home would have far more bandwidth available than is required to maintain a media stream. If the peak transfer bandwidth is higher than the sustained bandwidth, it is possible to buffer rapidly, when the user selects a particular stream, cramming as much of the stream s data as possible into the streaming media player s buffer in the shortest possible time. Companies like burst.com have pioneered this intelligent buffering approach. What this minimizes is startup delay. This reserve cache of ready-to-watch video also provides protection against packet loss. The result is a more reliable playback of the media. End-to-end streaming systems like Microsoft s Corona and RealNetworks Real System iQ incorporate similar quality-of-service techniques. Forward error correction (FEC) techniques are also now finding application in streaming, as a way of guaranteeing quality of service. FEC techniques have been used widely for years to guarantee the quality of satellite transmissions and in reading data from a compact disk. FEC works by spreading redundant data over a longer time or greater code length. The resultant stream has more bits than would strictly be required to carry the raw streaming media payload, but the additional data, spread out over time, allows the connection to be broken momentarily or permits data packets to be entirely lost, without affecting the reconstruction of the original payload at the player. In other words, some of the data packets can be lost, but an exact reconstruction of the data stream can be recovered entirely, through the use of redundant data. Viterbi codes, BCH (Bose-Chaudhuri-Hocquenghem) codes, Reed Solomon codes, and XOR (Exclusive OR) codes are popular FEC implementations. XOR codes have been used with the RTP, according to the Internet Engineering Task Force s Request for Comment document RFC 2733.
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