SMPlayer is a complete media player for Windows and Linux. It uses MPlayer as a playback engine, which is capable of playing most video and audio formats (AVI, mkv, WMV, MP4, MPEG, etc.). It can also play and download YouTube videos. One of the most interesting features is that it remembers the settings of all files you play. So if you start to watch a movie but have to leave, when you open that movie again it will resume at the same point you left it, and with the same settings: audio track, subtitles, volume, etc.
VLC media player is a multimedia player, framework, streamer, and encoder. It can play inputs like files, network streams, DVDs, audio CDs, Blu-Rays, capture devices, and screens. It can play most audio and video codecs and formats (MPEG 1/2/4, H264, VC-1, DivX, WMV, Vorbis, AC3, AAC, MKV, etc.), but can also be used to convert to different formats and/or send streams through the network.
crtmpserver it is a high performance streaming server able to stream (live or recorded) in the following technologies: to and from Flash (RTMP, RTMPE, RTMPS, RTMPT, RTMPTE), to and from embedded devices (such as iPhone and Android), from surveillance cameras, and with IP-TV using MPEG-TS and RTSP/RTCP/RTP protocols. Also, crtmpserver can be used as a high performance rendesvous server. For example, it enables you to do audio/video conferencing, online gaming, online collaboration, and simple or complex chat applications.
SWFTools is a collection of code for handling Flash .SWF-files. This includes a merging tool (swfcombine), an extracting tool (swfextract), PDF/JPEG/PNG/AVI/TTF/WAV to SWF converters (pdf2swf, jpeg2swf, png2swf, avi2swf, font2swf, and wav2swf), a text parsing tool (swfstrings), an SWF parser (swfdump), and a library for writing and reading SWFs (rfxswflib).
pHash is an implementation of various perceptual hashing algorithms. A perceptual hash is a fingerprint of a multimedia file derived from various features from its content. Unlike cryptographic hash functions that rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the features are similar. Potential applications include copyright protection, similarity searches for media files, or even digital forensics.