Despite the popularity of mobile video sharing, mobile user experience (UX) is not comparable with traditional TV or desktop video productions. The issue of poor UX in mobile video sharing can be associated with the high development cost, since the creation and utilization of a multimedia processing and distribution infrastructure is a non-trivial task for small groups of developers. In this paper, we present our solution comprised of mobile video processing services based on standard libraries which augment the raw video streams. Our services utilize the cloud computing paradigm for fast and intelligent processing in near-real time. Video streams are split in chunks and then fed to the "resource-unlimited" distributed/cloud infrastructure which accelerate the processing phase. Application developers have the possibility to apply arbitrary computer vision algorithms on the video stream thus improving the quality of user experience depending on the application requirements. We providing navigation cues and content-based zooming of raw video streams. We evaluated the proposed solution from two perspectives - distributed chunk-based processing in the cloud and a user study by means of mental workload. Running experiments in mobile video applications demonstrate that our proposed techniques improve mobile user experience significantly.