K
K. Bharanitharan
Researcher at Feng Chia University
Publications - 36
Citations - 300
K. Bharanitharan is an academic researcher from Feng Chia University. The author has contributed to research in topics: Encoder & Data compression. The author has an hindex of 10, co-authored 33 publications receiving 247 citations. Previous affiliations of K. Bharanitharan include Korea University & National Cheng Kung University.
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Journal ArticleDOI
Is Leader Humility a Friend or Foe, or Both? An Attachment Theory Lens on Leader Humility and Its Contradictory Outcomes
TL;DR: In this article, the authors developed a model which takes into account the ways in which leader humility influences the seemingly contradictory voice behavior of followers, i.e., inducing challenging voice (promoting the flexibility toward changes), and defensive voice (showing the persistence toward changes) depending on the followers' sense of security.
Journal ArticleDOI
Video search and indexing with reinforcement agent for interactive multimedia services
TL;DR: In this study, a video search and indexing system based on the state support vector network, video graph, and reinforcement agent for recognizing and organizing video events is presented and two innovative techniques are presented: state transition correction and transition quality estimation.
Journal ArticleDOI
A Low Complexity Detection of Discrete Cross Differences for Fast H.264/AVC Intra Prediction
TL;DR: Experimental results show that the proposed fast mode decision algorithm reduces the encoding time by about 56%, with negligible loss of video quality.
Journal ArticleDOI
Quadri-directional searching algorithm for secret image sharing using meaningful shadows
TL;DR: The proposed Quadri-Directional Searching Algorithm (QDSA) ensures that generated shares are of high quality and no secret information is leaked from these shares, thus it guarantees high security of the scheme.
Proceedings ArticleDOI
Human-centric technology based on orange computing
TL;DR: An interdisciplinary project “Orange technology: Research and implementation of advanced health, happiness, and care technologies” based on such a discipline is presented, which covers a wide range of studies, including theoretical research, application development, and national policy.