Journal article Open Access

Benchmarking Open-Source Static 3D Mesh Codecs for Immersive Media Interactive Live Streaming

Doumanoglou, Alexandros; Drakoulis, Petros; Zioulis, Nikolaos; Zarpalas, Dimitrios; Daras, Petros


Citation Style Language JSON Export

{
  "DOI": "10.1109/JETCAS.2019.2898768", 
  "container_title": "IEEE Journal on Emerging and Selected Topics in Circuits and Systems", 
  "language": "eng", 
  "title": "Benchmarking Open-Source Static 3D Mesh Codecs for Immersive Media Interactive Live Streaming", 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        11
      ]
    ]
  }, 
  "abstract": "<p>This work provides a systematic understanding of the requirements of live 3D mesh coding, targeting (tele-)immersive media streaming applications. We thoroughly benchmark in rate-distortion and runtime performance terms, four static 3D mesh coding solutions that are openly available. Apart from mesh geometry and connectivity, our analysis includes experiments for compressing vertex normals and attributes, something scarcely found in literature. Additionally, we provide a theoretical model of the tele-immersion pipeline that calculates its expected frame-rate, as well as lower and upper bounds for its end-to-end latency. In order to obtain these measures, the theoretical model takes into account the compression performance of the codecs and some indicative network conditions. Based on the results we obtained through our codec benchmarking, we used our theoretical model to calculate and provide concrete measures for these tele-immersion pipeline&rsquo;s metrics and discuss on the optimal codec choice depending on the network setup. This offers deep insight into the available solutions and paves the way for future research.</p>", 
  "author": [
    {
      "family": "Doumanoglou, Alexandros"
    }, 
    {
      "family": "Drakoulis, Petros"
    }, 
    {
      "family": "Zioulis, Nikolaos"
    }, 
    {
      "family": "Zarpalas, Dimitrios"
    }, 
    {
      "family": "Daras, Petros"
    }
  ], 
  "type": "article-journal", 
  "id": "2565935"
}
99
37
views
downloads
Views 99
Downloads 37
Data volume 111.2 MB
Unique views 93
Unique downloads 34

Share

Cite as