activity
20152026
most citedLTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

23 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GaussianPOP: Principled Simplification Framework for Compact 3D Gaussian Splatting via Error Quantification

Soonbin Lee, Yeong-Gyu Kim, Simon Sasse +5

Existing 3D Gaussian Splatting simplification methods commonly use importance scores, such as blending weights or sensitivity, to identify redundant Gaussians. However, these score…

cs.CV2025

EdgeVidSum: Real-Time Personalized Video Summarization at the Edge

Ghulam Mujtaba, Eun-Seok Ryu

EdgeVidSum is a lightweight method that generates personalized, fast-forward summaries of long-form videos directly on edge devices. The proposed approach enables real-time video s…

cs.CV2022

LTC-GIF: Attracting More Clicks on Feature-length Sports Videos

Ghulam Mujtaba, Jaehyuk Choi, Eun-Seok Ryu

This paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.e, static thumbnails and animated GIFs. Thi…

cs.CV2022★ 23 cited

LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

Ghulam Mujtaba, Adeel Malik, Eun-Seok Ryu

This paper proposes a novel lightweight thumbnail container-based summarization (LTC-SUM) framework for full feature-length videos. This framework generates a personalized keyshot…

cs.NI2015

Feasibility Study of Stochastic Streaming with 4K UHD Video Traces

Joongheon Kim, Eun-Seok Ryu

This paper performs the feasibility study of stochastic video streaming algorithms with up-to-date 4K ultra-high-definition (UHD) video traces. In previous work, various stochastic…