Joint Rate Allocation with Both Look-ahead And Feedback Model For High Efficiency Video Coding
This work addresses video compression efficiency for streaming applications, offering an incremental improvement over existing methods.
The paper tackled the problem of joint rate allocation for multiple HEVC video streams to minimize distortion variance, proposing a look-ahead and feedback model (LFAM) that integrates complexity measures with encoder feedback. Results show that LFAM outperforms the previous look-ahead model, saving an average of 65.94% variance in mean square error across different complexity measures.
The objective of joint rate allocation among multiple coded video streams is to share the bandwidth to meet the demands of minimum average distortion (minAVE) or minimum distortion variance (minVAR). In previous works on minVAR problems, bits are directly assigned in proportion to their complexity measures and we call it look-ahead allocation model (LAM), which leads to the fact that the performance will totally depend on the accuracy of the complexity measures. This paper proposes a look-ahead and feedback allocation model (LFAM) for joint rate allocation for High Efficiency Video Coding (HEVC) platform which requires negligible computational cost. We derive the model from the target function of minVAR theoretically. The bits are assigned according to the complexity measures, the distortion and bitrate values fed back by the encoder together. We integrated the proposed allocation model in HEVC reference software HM16.0 and several complexity measures were applied to our allocation model. Results demonstrate that our proposed LFAM performs better than LAM, and an average of 65.94% variance of mean square error (MSE) is saved with different complexity measures.