02425nas a2200421   4500000000100000008004100001653001400042653002100056653002300077653002500100653002500125653002100150653002100171653002000192653002900212653002100241653002300262653001800285653001900303653002100322653001500343653002400358653002400382653002200406653002500428653002400453653002200477653001300499100002000512700002300532700002000555700000900575245011800584856015000702300001400852520107600866020006101942                                       d10aAnimation10aBinary sequences10aEncoding (symbols)10aGeometric distortion10aGeometry compression10aGeometry encoder10aImage processing10aImaging systems10aInteractive broadcasting10aKey technologies10aLevel quantization10aMaximum error10aMoving objects10aMultiple cameras10aReal-world10aRun-length encoding10aTemporal redundancy10aThree dimensional10aTime varying systems10aTime-Varying-Meshes10aTime-varying mesh10aTopology1 aSeung-Ryong Han1 aToshihiko Yamasaki1 aKiyoharu Aizawa1 aIEEE00aGeometry compression for time-varying meshes using coarse and fine levels of quantization and run-length encoding  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-69949120956&doi=10.1109%2fICIP.2008.4711937&partnerID=40&md5=756616e7fac6e090cae3156c2cf4fc0b  a1045-10483 aTime-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.  a15224880 (ISSN); 1424417643 (ISBN); 9781424417643 (ISBN)