Binary shape coding using baseline-based method

Here, me propose a new shape-coding algorithm called baseline-based binary shape coding (BBSC), where the outer or inner contours of an arbitrarily sh aped object are represented by traced one-dimensional (I-D) data from the b aseline with turning points (TP's), There are two coding modes, i,e,, the i ntra and inter modes as in texture coding. In the intra mode, the different ial values of the neighboring I-D distance values and TP's corresponding to the given shape are encoded by the entropy coder. In the inter mode, objec t identification, global shape matching, and local contour matching are emp loyed for motion compensation/estimation. Lossy shape coding is enabled by variable sampling in each contour segment or by allowing some predefined er ror when performing motion compensation. We compare the proposed method wit h the bitmap-based method of context-based arithmetic encoding (CAE). Simul ation results show that the proposed method is better than CAE in coding ef ficiencg for intra mode and better in subjective quality for both intra and inter modes, although the CAE method has performed better than the propose d method in inter mode.