Towards a Multi-Terminal Video Compression Algorithm Using Epipolar Geometry

We present a novel distributed video coding algorithm based on transform coding of distributed sources and exploiting the geometrical relationships between the location of the sensors. The geometry is used to align the video sequences and distributed quantization of transform coefficients is used to eliminate spatial and inter-sensor redundancy. In contrast with most of the current video compression standards which only exploit spatial and temporal dundancy within each video sequence, we also consider the significant redundancy between the sequences. Results demonstrate that our algorithm yields a significant saving in bit rate on the overlapping portion of multiple views.