Wireless multimedia services are increasingly becoming popular boosting the need for better quality-of-experience (QoE) with minimal costs. The standard codecs employed by these systems remove spatio-temporal redundancies to minimize the bandwidth required. However, this increases the exposure of the system to transmission errors, thus presenting a significant degradation in perceptual quality of the reconstructed video sequences. A number of mechanisms were investigated in the past to make these codecs more robust against transmission errors. Nevertheless, these techniques achieved little success, forcing the transmission to be held at lower bit-error rates (BERs) to guarantee acceptable quality. This paper presents a novel solution to this problem based on the error detection capabilities of the transport protocols to identify potentially corrupted group-of-blocks (GOBs). The algorithm uses a support vector machine (SVM) at its core to localize visually impaired macroblocks (MBs) that require concealment within these GOBs. Hence, this method drastically reduces the region to be concealed compared to state-of-the-art error resilient strategies which assume a packet loss scenario. Testing on a standard H.263++ codec confirms that a significant gain in quality is achieved with error detection rates of 97.8% and peak signal-to-noise ratio (PSNR) gains of up to 5.33 dB. Moreover, most of the undetected errors provide minimal visual artifacts and are thus of little influence to the perceived quality of the reconstructed sequences. Index Terms-Error detection and concealment, error resilient coding, learning systems, multimedia communications, video coding, wireless network. Reuben A. Farrugia (S'04) received the first degree in electronic engineering from the University of Malta, Msida, Malta. He is currently pursuing the Ph.D. degree in communications engineering with the Department of Communications and Computer Engineering at the University of Malta. Between 2004 and 2007, he was employed as a Research Engineer with the Department of Communications and Computer Engineering of the University of Malta, and in January 2008, he was appointed Assistant Lecturer with the same department. His research interests are in robust multimedia transmission, multimedia processing, forward error correction codes, and machine learning. Carl James Debono (S'97-M'01-SM'07) received the B.Eng. (Hons.