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Ho-Jae Lee

dblp:27/545 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2006
0009-0002-8669-3575ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

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.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 77% Privacy and data protection · 23%
Computer graphics and multimedia
1 paper
Image and video coding · 100%

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

TopicWeightPapersLastEvidence papers
Image and video coding › video coding standards
H.264/AVC
0.112006
Low complexity controllable scrambler/descrambler for H.264/AVC in compressed domain · ACM Multimedia 2006
Cryptographic primitives and cryptanalysis › encryption › multimedia encryption
video scrambling
0.112006
Low complexity controllable scrambler/descrambler for H.264/AVC in compressed domain · ACM Multimedia 2006

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

DCT coefficient manipulation · 0.1CABAC initialization table manipulation · 0.1
YearPublicationVenuePosition
2006 Low complexity controllable scrambler/descrambler for H.264/AVC in compressed domain
abstract
In this paper, we present a novel algorithm that scrambles and descrambles a H.264/AVC video element stream. In particular, the proposed method selectively exploits the unique characteristics of H.264/AVC video coding standard. Specifically, we manipulate DCT coefficients and CABAC initialization table, to secure the visual content of H.264/AVC video. This new algorithm is light-weight and able to support the level of security (scrambling strength) as well. Extensive experimental results indicate that the proposed algorithm is highly effective and feasible, yet computationally very efficient.
Ho-Jae Lee, Jeho Nam
ACM Multimedia1
2005 Fast Video Motion Estimation Algorithm for Mobile Devices
abstract
The power consumption of video enabled mobile devices is an ongoing challenge. The computational burden caused by the motion estimation process involved in video compression is the main cause for this consumption. We developed a new algorithm which drastically reduces the computation costs of the motion estimation process over the existing techniques. Our algorithm uses only 0.5% of the computational complexity of the full search method, making it the fastest presently available motion compensation method
Ho-Jae Lee, Panos Nasiopoulos, Victor C. M. Leung
ICME1