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vca

Video complexity analyzer

https://github.com/cd-athena/vca

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 8 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Video complexity analyzer

Basic Info
  • Host: GitHub
  • Owner: cd-athena
  • License: gpl-3.0
  • Language: C++
  • Default Branch: stable
  • Homepage:
  • Size: 868 KB
Statistics
  • Stars: 83
  • Watchers: 3
  • Forks: 9
  • Open Issues: 8
  • Releases: 3
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

readme.rst 

=================
VCA
=================

| **Read:** | `Online documentation `_
| **Interact:** | `Report an issue `_

`VCA `_ is an open source video complexity analyzer. See the online documentation for instructions for building the source.
The primary objective of VCA is to become the best spatial and temporal complexity predictor for every frame/ video segment/ video which aids in predicting encoding parameters for applications like online per-title encoding.

VCA is available as an open source library, published under the GPLv3 license.

Please use "Cite this repository" to extract proper citation options for this repository or use the following:

1. Vignesh V Menon, Christian Feldmann, Klaus Schoeffmann, Mohammad Ghanbari, and Christian Timmerer. 2023. Green Video Complexity Analysis for Efficient Encoding in Adaptive Video Streaming. In Proceedings of the First International ACM Green Multimedia Systems Workshop (GMSys 2023). Association for Computing Machinery, New York, NY, USA, 259–264. `https://doi.org/10.1145/3593908.3593942 `_

2. Vignesh V Menon, Christian Feldmann, Hadi Amirpour, Mohammad Ghanbari, and Christian Timmerer. 2022. VCA: video complexity analyzer. In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22). Association for Computing Machinery, New York, NY, USA, 259–264. `https://doi.org/10.1145/3524273.3532896 `_

Owner

  • Name: ATHENA Christian Doppler (CD) Laboratory
  • Login: cd-athena
  • Kind: organization
  • Location: Klagenfurt, Austria

Adaptive Streaming over HTTP and Emerging Networked Multimedia Services

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite both the article from preferred-citation and the software itself."
preferred-citation:
  authors:
  - family-names: "Menon"
    given-names:  "Vignesh V"
    orcid: "https://orcid.org/0000-0003-1454-6146"
  - family-names: "Feldmann"
    given-names: "Christian"  
  - family-names: "Schoeffmann"
    given-names: "Klaus"
    orcid: "https://orcid.org/0000-0002-9218-1704"
  - family-names: "Ghanbari"
    given-names: "Mohammad"
    orcid: "https://orcid.org/0000-0002-5482-8378"
  - family-names: "Timmerer"
    given-names: "Christian"
    orcid: "https://orcid.org/0000-0003-1114-2584"
  title: "Green Video Complexity Analysis for Efficient Encoding in Adaptive Video Streaming"
  doi: 10.1145/3593908.3593942
  type: conference-paper
  year: "2023"
  isbn: "978-1-4503-9283-9"
  collection-title: "Proceedings of the First International ACM Green Multimedia Systems Workshop (GMSys 2023)"
  collection-type: proceedings
  location:
        name: "Vancover, Canada"
  conference:
        name: "MMSys '23"
  publisher:
        name: "Association for Computing Machinery"
        address: "New York, NY, USA"  
title: "VCA: Video Complexity Analyzer"
version: 2.0
date-released: 2023-04-14
url: "https://github.com/cd-athena/VCA"

GitHub Events

Total
  • Issues event: 2
  • Watch event: 12
  • Issue comment event: 1
  • Pull request event: 1
  • Fork event: 2
Last Year
  • Issues event: 2
  • Watch event: 12
  • Issue comment event: 1
  • Pull request event: 1
  • Fork event: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 1
  • Total pull requests: 1
  • Average time to close issues: about 1 hour
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: about 1 hour
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ruben-ar14-mons (1)
  • evan-spec (1)
Pull Request Authors
  • vigneshvijay94 (2)
  • szatmary (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/Build.yml actions
  • actions/checkout v3 composite
Dockerfile docker
  • ubuntu 22.04 build