Abstract—This paper proposes a combined frame memory architecture which is smaller in size and is potential in reducing power consumption compared to the most commonly used ping-pong frame memory. The combined frame memory maps both reference frame data and current frame data onto one single frame memory instead of two in ping-pong architecture. Together with the characteristic of high percentage of MBs with zero-valued MVs and no residual, the combined frame memory architectures is evaluated to be able to reduce not only the memory size, but also the average energy consumption and memory access latency for applications like surveillance, video phone, and video conference. According to the statistics and analysis result, the proposed combin...
Performance requirements for video decoding will continue to rise in the future due to the adoption ...
In a world where more and more video contents are consumed and where those video contents tend to be...
This paper presents a novel run-time adaptive energy-aware Motion and Disparity Estimation (ME, DE) ...
Abstract—The frame memory has long been the dominant component in a video decoder in terms of energy...
Abstract—A low-power architecture for an on-chip multi-banked video memory for motion and disparity ...
Motion estimation and motion compensation in HEVC and similar video codecs involve huge memory traff...
A key factor behind the success of video products and services is video compression that makes digit...
Abstract: Two embedded memory designs are proposed for video-signal processing. Concurrent line acce...
We describe a power exploration methodology for data-dominated applications using a H.263 video deco...
Due to the large amount of data transfers it involves, the motion estimation (ME) engine is one of t...
The architecture of the present video processing units in consumer systems is usually based on vario...
In this paper, we propose a new architectural technique to reduce energy dissipation of frame memory...
[[abstract]]Motion compensation (MC) is the computation bottleneck in H.264/AVC decoding and it domi...
In this paper, we propose a low power adaptive baseline H.264 video encoder hardware for portable co...
In this paper we investigate the impact of different memory configurations on performance and energy...
Performance requirements for video decoding will continue to rise in the future due to the adoption ...
In a world where more and more video contents are consumed and where those video contents tend to be...
This paper presents a novel run-time adaptive energy-aware Motion and Disparity Estimation (ME, DE) ...
Abstract—The frame memory has long been the dominant component in a video decoder in terms of energy...
Abstract—A low-power architecture for an on-chip multi-banked video memory for motion and disparity ...
Motion estimation and motion compensation in HEVC and similar video codecs involve huge memory traff...
A key factor behind the success of video products and services is video compression that makes digit...
Abstract: Two embedded memory designs are proposed for video-signal processing. Concurrent line acce...
We describe a power exploration methodology for data-dominated applications using a H.263 video deco...
Due to the large amount of data transfers it involves, the motion estimation (ME) engine is one of t...
The architecture of the present video processing units in consumer systems is usually based on vario...
In this paper, we propose a new architectural technique to reduce energy dissipation of frame memory...
[[abstract]]Motion compensation (MC) is the computation bottleneck in H.264/AVC decoding and it domi...
In this paper, we propose a low power adaptive baseline H.264 video encoder hardware for portable co...
In this paper we investigate the impact of different memory configurations on performance and energy...
Performance requirements for video decoding will continue to rise in the future due to the adoption ...
In a world where more and more video contents are consumed and where those video contents tend to be...
This paper presents a novel run-time adaptive energy-aware Motion and Disparity Estimation (ME, DE) ...