In the previous chapters, we looked at low-level methods for multimedia content analysis and audio/visual processing. This chapter explores some of the bigger building blocks and applications of content analysis. Many of these single-media content analysis systems can be used alone, be modified for multimedia content analysis, or integrated within a bigger multimedia content analysis system. This chapter is designed as a short overview of how typical visual, speech, and music analysis systems work by describing on a high level which signal processing and machine learning techniques are typically used. Note that all of the systems presented here will only approximate a solution and to achieve high accuracies, they will still require a significant amount of engineering. To go beyond a certain accuracy, more research is needed, which might redefine how typical systems work in the future (thus potentially making our descriptions obsolete). However, as outlined in the previous chapter, it is possible to take error into account on a higher level and integrate several less accurate systems into one more accurate system, especially when multiple media are taken into account.