[Paper]

Our paper is published at MDPI Sensors

“Motion-Estimation-Assisted Denoising for an Efficient Combination with an HEVC Encoder”, [Paper] Our paper, “Motion-Estimation-Assisted Denoising for an Efficient Combination with an HEVC Encoder” written by Seung-Yong Lee and Chae Eun Rhee is published at MDPI Sensors.

Our paper is published at JSTS’18

“Hardware-friendly Advanced Motion Vector Predictor Generation for an HEVC Encoder”, [Paper] Our paper, “Hardware-friendly Advanced Motion Vector Predictor Generation for an HEVC Encoder” written by Seung-Won Park and Chae Eun Rhee is published at JSTS’18.

Our paper is published at TCSVT’18

“Fast Integer Motion Estimation with Bottom-up Motion Vector Prediction for an HEVC Encoder”, [Paper] Our paper, “Fast Integer Motion Estimation with Bottom-up Motion Vector Prediction for an HEVC Encoder” written by Tae Sung Kim, Chae Eun Rhee, Hyuk-Jae Lee, and Soo-Ik Chae is published at TCSVT’18.

Our paper is published at JSPS’18

“A Highly Utilized Hardware-Based Merge Mode Estimation with Candidate Level Parallel Execution for High-Efficiency Video Coding”, [Paper] Our paper, “A Highly Utilized Hardware-Based Merge Mode Estimation with Candidate Level Parallel Execution for High-Efficiency Video Coding” written by Tae Sung Kim, Chae Eun Rhee, and Hyuk-Jae Lee is published at JSPS’18.

Our paper is published at JSTS’17

“Fine-Scalable SPIHT Hardware Design for Frame Memory Compression in Video Codec”, Our paper,“Fine-Scalable SPIHT Hardware Design for Frame Memory Compression in Video Codec” written by Sunwoong Kim, Ji Hun Jang, Hyuk-Jae Lee, and Chae Eun Rhee is published at JSTS’17.

Our paper is published at SPC’17.

“Compression Efficiency Evaluation for Virtual Reality Videos depending on Projection Schemes” Our paper,“Compression Efficiency Evaluation for Virtual Reality Videos depending on Projection Schemes” written by Byeong Chul Kim and Chae Eun Rhee is published at SPC’17.

Our paper is accepted at TCSVT’16.

“Complexity Reduction by Modified Scale-Space Construction in SIFT Generation Optimized for a Mobile GPU”, Our paper, “Complexity Reduction by Modified Scale-Space Construction in SIFT Generation Optimized for a Mobile GPU” written by Chulhee Lee, Chae Eun Rhee, and Hyuk-Jae Lee is accepted at TCSVT’16.