Compressed Domain Video Object Segmentation

We propose a compressed domain video object segmentation method for MPEG or MPEG-like encoded videos. Computational superiority is the main advantage of the compressed domain processing. In addition to computational advantage, the compressed domain video process possesses two important features, which are very attractive for object analysis. First, the texture characteristics are provided by the DCT coefficiens with the need of only partial decoding. Second, the motion information is readily available without incurring cost of complicated motion estimation process for not intra only MPEG encoded videos. In the proposed method, we first exploit the macro-block structure of the MPEG encoded video to decrease the spatial resolution of the processed data, which exponentially reduces the computational load. Further reduction of complexity is achieved by temporal grouping of the intra-coded and estimated frames into a single feature layer. The video segmentation is achieved by using the com...

• Type: Journal
• Year: 2010
• Where: TCSV
• Authors: Fatih Murat Porikli, Faisal I. Bashir, Huifang Sun
• Keywords: Compressed Domain, Compressed Domain Video, Computational Biology, Segmentation Method, TCSV 2010