This paper presents efficient coding and mapping algorithms that lead to a significant speed improvement in low bit rate H.263/H263+ video encoding while maintaining high video reproduction quality. First, by exploiting statistical properties of low resolution and slowly varying video sequences, we reduce significantly the computation times of the most computationally intensive components of video coding, particularly the DCT, the IDCT, quantization, and motion estimation. We also map some of the SIMD (Single Instruction Multiple Data) oriented functions onto Intel's MMX architecture. The developed algorithms are implemented using our public-domain H.263/H.263+ encoder/decoder software [1]. Index Terms-Low bit rate video coding, real-time video coding, H.263, MMX. I. INTRODUCTION The growing interest in digital video applications led academia and industry to work towards developing video compression algorithms. Consequently, several successful standards have emerged, such as the ITU-T H.261, H.263, H.263+, ISO/IEC MPEG-1, and MPEG-2. H.263 and H.263+ are low bit rate video coding standards that are based on H.261. H.263 targets video encoding at rates below 64 kbps (kilo bits per second), providing some major improvements over the H.261 standard and offering four negotiable modes that provide many tradeoffs between compression performance and complexity [2]. H.263+ provides twelve additional negotiable modes that improve compression performance and error resilience, enhance performance over packet-switched networks, allow the use of scalable bit streams, and provide supplemental display and external usage capabilities [3]. While the advanced video coding algorithms, such as those compliant with H.263 and H.263+, provide better compression performance levels than those compliant with H.261 and MPEG-1, they are more complex and more computationally demanding. Until recently, real-time video encoding and decoding were only possible using Application Specific Integrated Circuits (ASICs) or multiple DSP platforms, resulting in coding systems such as the VDSP2 from Matsushita