To overcome luminosity problems, modern embedded vision systems often integrate technologically heterogeneous sensors. Also, it has to provide different functionalities such as photo or video mode, image improvement or data fusion, according to the user environment. Therefore, nowadays vision systems should be context-aware and adapt their performance parameters automatically. In this context, we propose a novel auto-adaptive architecture enabling on-the-fly and automatic frame rate and resolution adaptation by a frequency tuning method. This method also intends to reduce power consumption as an alter native to existing power gating method. Performance evaluation on an FPGA implementation demonstrates an interframe adaptation capability with a relatively low area overhead.