Comparing V-Nova LCEVC SDK with Practical Open-Source Video Codecs

This paper presents a comparative evaluation of the V-Nova LCEVC SDK against several practical open-source video encoders, namely SVT-AV1, XEVE, VVenC, x265, and x264. We analyze the trade-offs between the compression efficiency and encoder/decoder runtime of these encoders for high-resolution (UHD...

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Detalles Bibliográficos
Autores: Valera, María, Rodríguez Sánchez, Rafael, Cuenca Castillo, Pedro Ángel, Cebrián Márquez, Gabriel, Díaz Honrubia, Antonio Jesús, García Lucas, David
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/47834
Acceso en línea:https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11396673
https://hdl.handle.net/10578/47834
Access Level:acceso abierto
Palabra clave:Open-source video encoders
V-Nova LCEVC SDK
Descripción
Sumario:This paper presents a comparative evaluation of the V-Nova LCEVC SDK against several practical open-source video encoders, namely SVT-AV1, XEVE, VVenC, x265, and x264. We analyze the trade-offs between the compression efficiency and encoder/decoder runtime of these encoders for high-resolution (UHD and HD) 10-bit consumer applications under a random access configuration. Rate–distortion behavior is assessed using Video Multimethod Assessment Fusion (VMAF, and VMAF-NEG) and Peak Signal-to-Noise Ratio (PSNR), while computational cost is measured through the encoder/decoder runtime. We also analyze the impact of LCEVC’s enhancement layer in terms of both bitrate increase and rate–distortion improvement. The results show that V-Nova LCEVC SDK delivers notable reductions in encoding time with respect to its base codecs, highlighting its suitability as a low-complexity enhancement layer. By comparison, VVenC exhibits a strong compression performance at the expense of high complexity, XEVE also displays considerable encoding times, and SVT-AV1 offers a more balanced compromise between efficiency and computational requirements.