The wireless video transmission process, due to the complexity and variability of wireless communication channels, requires to adjust the bitrates to match the dynamic wireless channel. An analysis of the video frame quality could be used as an important basis to adjust the wireless video bitrates. This paper aims at detecting and recognizing transmission bitrates based on video frame quality for wireless networks. According to the distribution characteristics of video frame quality, this paper proposes a GOP-level bitrate clustering recognition algorithm (GLBCR) by video coding GOP structural feature and temporal continuity of video frames to recognize different bitrates for wireless video. GLBCR uses PSNR between each pair of original and terminal decoding frame as the feature to quantify the degradation of video frame quality. The algorithm extracts the PSNR values of all I-frames by the peak detector function, then uses PSNR similarity measure to recursively split the frame interval into subintervals. Finally, the different video bitrates can be recognized by GLBCR. The proposed algorithm is evaluated by using the LIVE mobile video quality assessment (VQA) database. The results show that the proposed algorithm can recognize the change of video bitrates by analyzing video frame quality, it is well consistent with the real bitrate changes in wireless video transmission with small amount of calculation.