TY - CPAPER
KW - Animation
KW - Binary sequences
KW - Encoding (symbols)
KW - Geometric distortion
KW - Geometry compression
KW - Geometry encoder
KW - Image processing
KW - Imaging systems
KW - Interactive broadcasting
KW - Key technologies
KW - Level quantization
KW - Maximum error
KW - Moving objects
KW - Multiple cameras
KW - Real-world
KW - Run-length encoding
KW - Temporal redundancy
KW - Three dimensional
KW - Time varying systems
KW - Time-Varying-Meshes
KW - Time-varying mesh
KW - Topology
AU - Seung-Ryong Han
AU - Toshihiko Yamasaki
AU - Kiyoharu Aizawa
AU - IEEE
AB - Time-varying meshes (TVM) is a new 3-D scene representation which are generated from multiple cameras. It captures highly detailed shape and texture as well as movement of real-world moving objects. Compression is a key technology for supporting TVM applications such as education, interactive broadcasting, and intangible heritage archiving. Previous works focused on compression of 3-D animation that has the same topology throughout the entire sequences. Unfortunately, the topology of TVMs change with time which makes it difficult to compress TVMs. In this paper, we propose a geometry encoder for TVMs. The encoder finds spatial and temporal redundancy by coarse and fine level quantization. Thereafter, vertex information is converted into binary sequences. And then, the binary sequences are encoded using run-length encoding (RLE). Experimental results show that vertices of TVMs which require 96 bits per vertex (bpv) are compressed to 1.9-15.4 bpv while maintaining a small geometric distortion ranging from 0.7 × 10 -4 to 1.3 × 10 -3 \%of the maximum error.
C2 - Proc. Int. Conf. Image Process. ICIP
DO - 10.1109/ICIP.2008.4711937
N1 - Journal Abbreviation: Proc. Int. Conf. Image Process. ICIP
N2 - Time-varying meshes (TVM) is a new 3-D scene representation which are generated from multiple cameras. It captures highly detailed shape and texture as well as movement of real-world moving objects. Compression is a key technology for supporting TVM applications such as education, interactive broadcasting, and intangible heritage archiving. Previous works focused on compression of 3-D animation that has the same topology throughout the entire sequences. Unfortunately, the topology of TVMs change with time which makes it difficult to compress TVMs. In this paper, we propose a geometry encoder for TVMs. The encoder finds spatial and temporal redundancy by coarse and fine level quantization. Thereafter, vertex information is converted into binary sequences. And then, the binary sequences are encoded using run-length encoding (RLE). Experimental results show that vertices of TVMs which require 96 bits per vertex (bpv) are compressed to 1.9-15.4 bpv while maintaining a small geometric distortion ranging from 0.7 × 10 -4 to 1.3 × 10 -3 \%of the maximum error.
SN - 15224880 (ISSN); 1424417643 (ISBN); 9781424417643 (ISBN)
SP - 1045
EP - 1048
TI - Geometry compression for time-varying meshes using coarse and fine levels of quantization and run-length encoding
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-69949120956&doi=10.1109%2fICIP.2008.4711937&partnerID=40&md5=756616e7fac6e090cae3156c2cf4fc0b
ER -