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Ting-Yu Lee

dblp:133/6390 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Computer networks · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

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 networks
1 paper
Cellular and mobile networks · 77% Wireless networking · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › resource scheduling
OFDMA scheduling
0.912025
LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025
Wireless networking › WLAN › IEEE 802.11 amendment
wi-fi 6
0.312025
LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025
YearPublicationVenuePosition
2025 LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks
Yi-An Tai, Yao-Wen Liu, Ping-Kuan Kao, Ting-Yu Lee, Cheng-I Hu, Chi-Yu Li 0001
ICNP4
2018 Fast mode decision method based on edge feature for HEVC inter-prediction
abstract
High‐efficiency video coding (HEVC) is an international video coding standard. It can reduce bit rate by almost 50% when preceding state‐of‐the‐art standard H.264/advanced video coding (AVC) with the same objective quality but increase about 40% encoding complexity. The computation complexity of HEVC largely relies on the inter‐prediction, which consumes about 60–70% of the total encoding time. This study proposes a fast mode decision method for HEVC inter‐prediction. Since current coding unit (CU) is the basic coding zone for HEVC encoding process, the authors apply the edge detection method with Sobel operator to extract the edge information inside CU. It is based on the threshold‐oriented means to compare those edge values and then predict the best partition mode for this CU. Furthermore, they define a weighting factor to adopt various resolutions of test sequence from wide quarter video graphics array (WQVGA) to 1600 p. The experimental results show that the proposed algorithm can reduce computational complexity by 50% on average compared with HEVC reference software, and appear to have almost the same coding performance.
Tsung-Han Tsai 0001, Sheng-Shuan Su, Ting-Yu Lee
IET Image Process.3