Video services are expected to account for a large portion of the traffic in future wireless networks. Therefore realistic traffic sources are needed to investigate the network performance of future communication protocols. In our previous work we focused on video services for 3G networks. We provided a publicly available library of frame size traces of long MPEG-4 and H.263 encoded videos hi the QCIF format resulting in low bandwidth video streams. These traces can be used for the simulation of 3G networks. Some future communication systems, such as the WLAN systems, offer high data rates and therefore high quality video can be transmitted over such higher speed networks. In this paper we present an addition to our existing trace library. For this addition we collected over 100 pre-encoded video sequences from the WEB, generated the trace files, and conducted a thorough statistical evaluation. Because the preencoded video sequences are encoded by different users they differ in the video settings in terms of codec, quality, format, and length. The advantage of user diversity for encoding is that it reflects very well the traffic situation in upcoming WLANs. Thus, the new traces are very suitable for the network performance evaluation of future WLANs.