A spatio-temporal concealment technique using boundary matching algorithm and mesh-based warping (BMA-MBW)

被引:39
作者
Atzori, L [1 ]
De Natale, FGB
Perra, C
机构
[1] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
[2] Univ Trent, Dept Biophys & Elect Engn, I-38050 Trent, Italy
[3] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
关键词
affine transform; boundary matching algorithm; mesh-based processing; spatial and temporal concealment; video concealment;
D O I
10.1109/6046.944476
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The transmission of block-coded visual information over packet networks introduces fidelity problems in terms of data losses, which result in wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual effect of these errors, by exploiting either spatial or temporal available information. Both temporal and spatial approaches present drawbacks: the first is in general inefficient in handling complex or fast objects' motion, while the second is computationally expensive and is not able to recover high-frequency contents and small details. In this paper, a new solution is proposed that combines temporal and spatial approaches. The technique first replaces the lost block with the best matching pattern in a previously decoded frame (BMA), using the border information, and then applies a mesh-based warping (MBW) that reduces the artifacts caused by fast movements, rotations or deformations. The first step is achieved by a fast matching algorithm, for a high precision is not needed, while the second step uses an affine transform applied to a deformable mesh structure. Experimental results show that significant improvements can be achieved in comparison with traditional spatial or temporal concealment approaches, in terms of both subjective and objective reconstruction quality.
引用
收藏
页码:326 / 338
页数:13
相关论文
共 22 条
[21]  
Wang GY, 1996, T NONFERR METAL SOC, V6, P6
[22]   ACTIVE MESH - A FEATURE SEEKING AND TRACKING IMAGE SEQUENCE REPRESENTATION SCHEME [J].
WANG, Y ;
LEE, O .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1994, 3 (05) :610-624