In the AVS3 reference software HPM, intra prediction filtering (IPF) is employed in inter prediction filtering (Interpf). However, since IPF was originally designed for spatial boundary pixels, its direct application to Interpf is suboptimal. To address this issue, we propose a Temporal IPF technique (Temp-IPF). Temp-IPF compensates for the lack of temporal correlation when IPF is used in inter prediction, thereby improving the performance of inter prediction filtering in AVS3. Concurrently, we have redesigned the filtering parameters of IPF. Experimental results on the AVS3 720p test sequences show that Temp-IPF and the adjusted-IPF (with the redesigned parameters) achieve average BD-rate reductions of 0.025% and 0.13%, respectively.

In this paper, we propose a method to evaluate the throughput of video transcoding in cloud services. This method can quickly estimate the maximum number of transcoding video concurrence on the current transcoding unit.

This paper presents a novel method to train the quantized feature with the action recognition task jointly. A quantization and inverse-quantization layers are introduced to the 3D CNN. The quantization and the action recognition loss functions are minimized jointly. That is, the method aims to learn the feature not only to improve action recognition accuracy but also reduce the information loss of the quantization. The framework is shown in Fig. (1).

Short videos, ranging from a few seconds to a few minutes, have become popular in many video production. So we need efficient coding tools to compress these videos. AV1 is an emerging open-source and royalty-free video compression format jointly developed and finalized in early 2018 by the Alliance for Open Media. Many coding tools are introduced into AV1 to improve compression performance. However, some coding tools may lead to performance loss to encode these short videos. This paper presents a coding tools performance evaluation of AV1 on short videos. We design an Off experiment by turning off a single coding tool, and the anchor is AV1 with all coding tools on. We list the impact of each open and closed coding tool on the overall performance of the short video.