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Chung-Chieh Kuo

Researcher at MediaTek

Publications -  29
Citations -  503

Chung-Chieh Kuo is an academic researcher from MediaTek. The author has contributed to research in topics: Frame (networking) & Encoder. The author has an hindex of 13, co-authored 29 publications receiving 503 citations. Previous affiliations of Chung-Chieh Kuo include Industrial Technology Research Institute.

Papers
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Patent

Adaptive de-blocking filtering apparatus and method for MPEG video decoder

TL;DR: In this paper, a post processing de-blocking filter includes a threshold determination unit for adaptively determining a plurality of threshold values according to at least differences in quantization parameters QPs of adjacent blocks in a received video stream and to a user defined offset (UDO) allowing the threshold levels to be adjusted according to the UDO value.
Patent

Rate control method with frame-layer bit allocation and video encoder

TL;DR: In this article, a video encoder consisting of a frame grouping device, a GOP initialization device, and a GOP encoding device is coupled to the frame initialization device and estimates a first quantization parameter QP 1 based on the target bit budget R GOP and complexity of the current frame set.
Patent

Method for detecting monetary banknote and performing currency type analysis operation

TL;DR: In this paper, a method for detecting an image corresponding to at least a monetary banknote is presented, which includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure.
Patent

Method and apparatus for operational frame-layer rate control in video encoder

TL;DR: In this article, a frame-layer rate control method and a video encoding method and system is presented, where a QP of a previous frame is used to determine MVs and MB modes for all MBs in a current frame through R-D optimization.
Patent

Sports video retrieval method

TL;DR: In this paper, a sports video retrieval method involves segregation of the video into multiple segments of different indexing conditions based on audience cheers recorded; the exciting intensity of the cheers being scored as the audio level of cheers being in proportion of the wonderful performance of the athletes; cheer segments being retrieved and given rank depending on the score to each segment.