Yiling Xu

dblp:164/8950 · DBLP profile ↗
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3ranked-venue papers in the field
1as first author
2since 2021 · last 2024
0000-0002-4942-5232ORCID · conflict

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 2Big Data, Cloud & Distributed Data Systems · 1 (1 first)
YearPublicationVenuePosition
2024 MS-GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via multi-scale Geodesic Patch Similarity
abstract
To address the mesh quality assessment (MQA) problem, GeodesicP-SIM was proposed by jointly considering geometry and color features, demonstrating compelling performance in multiple benchmarks.However, GeodesicPSIM does not consider the multi-scale characteristics of human perception.To better mimic human subjective perception, we proposed a multi-scale MQA model called multi-scale Geodesic Patch Similarity (MS-GeodesicPSIM).Firstly, inspired by the multi-scale processing methods used in image and point cloud analysis, we propose a novel multi-scale representation of textured meshes based on mesh simplification techniques.Secondly, we extend GeodesicPSIM into a multi-scale version leveraging the proposed multi-scale representation.Specifically, we construct a multi-scale representation for the reference and distorted meshes, followed by fusing the results of GeodesicPSIM at different scales to obtain an overall quality score.Experimental results demonstrate the superior performance of the proposed MS-GeodesicPSIM compared to the single-scale GeodesicPSIM and other MQA metrics on three large and independent databases.Ablation studies further confirm that MS-GeodesicPSIM is robust to different model hyperparameter settings.The code for MS-GeodesicPSIM is available at https://github.com/ccccby/MS-GeodesicPSIM
Bingyang Cui, Qi Yang 0003, Yiling Xu
MMAsia4
2024 A Benchmark for Gaussian Splatting Compression and Quality Assessment Study
Qi Yang 0003, Kaifa Yang, Yuke Xing, Yiling Xu, Zhu Li 0001
MMAsia4
2015 2-D Index Map Coding for HEVC Screen Content Compression
abstract
This paper introduces a 2-D index map coding of the palette mode in screen content coding extension of the High-Efficiency Video Coding (HEVC SCC) standard to further improve the compression performance. In contrast to the current 1-D search using RUN to represent the length of matched string, we bring the block width and height to describe the arbitrary rectangle shape. We also use the block vector displacement to signal the matched block distance efficiently. By enlarging the search range from current coding tree unit (CTU) to a small neighbor CTU window (i.e., 3×5 CTUs), it provides the coding efficiency comparable to the case that full-frame intra block copy is used. It is more practical to use the local search window in real life considering the trade-off between the coding efficiency and implementation cost.
Yiling Xu, Wei Huang 0012, Fanyi Duanmu, Zhan Ma 0001
DCC1