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Jian-Yu Hao

dblp:375/9187 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visual content generation and editing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing › video editing
video recoloring
0.912025
Fast Video Recoloring via Curve-Based Palettes · IEEE Trans. Image Process. 2025
Visual content generation and editing › image recoloring
color grading
0.312025
Fast Video Recoloring via Curve-Based Palettes · IEEE Trans. Image Process. 2025

Methods — techniques the papers use, named apart from their topics

palette extraction · 0.9bézier curve fitting · 0.9
YearPublicationVenuePosition
2025 Fast Video Recoloring via Curve-Based Palettes
abstract
Color grading, as a crucial step in film post-production, plays an important role in emotional expression and artistic enhancement. Recently, a geometric palette-based approach to video recoloring has been introduced with impressive results. It offers an intuitive interface that allows users to alter the color of a video by manipulating a limited set of representative colors. However, this method has two primary limitations. Firstly, palette extraction is computationally expensive, often taking more than one hour to generate palettes even for medium-length videos, which significantly limits the practical application of color editing for longer videos. Secondly, the palette colors are less representative, and some primary colors may be omitted from the resulting palettes during topological simplification, making it less intuitive in color editing. To overcome these limitations, in this paper, we propose a novel approach to video recoloring. The core of our method is a set of Bézier curves that connect the dominant colors throughout the input video. By slicing these Bézier curves in RGBT space, per-frame palette can be naturally derived. During recoloring, users can select several frames of interest and modify their corresponding palettes to change the color of the video. Our method is simple and intuitive, enabling compelling time-varying recoloring results. Compared to existing methods, our approach is more efficient in palette extraction and can effectively capture the dominant colors of the video. Extensive experiments demonstrate the effectiveness of our method.
Zheng-Jun Du, Jia-Wei Zhou, Jian-Yu Hao, Zi-Kang Huang, Kun Xu 0003
IEEE Trans. Image Process.4
2024 Edit propagation via color palettes
Zi-Xun Xia, Jian-Yu Hao, Ao-Xiang Tian, Zheng-Jun Du
Comput. Graph.2