A Novel Spiral-Type Motion Estimation Architecture for H.264/AVC

Hirai, Naoyuki; Song, Tian; Liu, Yizhong; Satō, Takashi

doi:10.5573/jsts.2010.10.1.037

Cited by 4 publications

(17 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first feature is that the probability of selecting ref 3 and ref 4 is lower than 3%. The second feature is that ref 3 3 and ref 4 will be skipped.…”

Section: Fast Multi-frame Motion Estimation Algorithm With Adaptive Smentioning

confidence: 99%

“…FMASS uses a feature such that ref 3 and ref 4 will be more likely to be selected under conditions of vibration or smooth moving, but it uses threshold values. It does not provide any gain regarding implementation on hardware.…”

Section: Fast Multi-frame Motion Estimation Algorithm With Adaptive Smentioning

confidence: 99%

“…The higher coding efficiency comes from several new features such as the multi-reference frame, variable sub block size, quarter-pixel accuracy motion vector, intra prediction, integer transformation, adaptive in-loop deblocking filter and enhanced entropy coding methods [1]. Although the coding efficiency of H.264/AVC is much higher than that of previous standards, these new features increase the computational complexity and make it difficult to implement in mobile devices [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of a Fast Multi-Reference Frame Integer Motion Estimator for H.264/AVC

Byun¹,

Kim²

2013

JSTS:Journal of Semiconductor Technology and Science

View full text Add to dashboard Cite

Abstract-This paper presents a fast multi-reference frame integer motion estimator for H.264/AVC. The proposed system uses the previously proposed fast multi-reference frame algorithm. The previously proposed algorithm executes a full search area motion estimation in reference frames 0 and 1. After that, the search areas of motion estimation in reference frames 2, 3 and 4 are minimized by a linear relationship between the motion vector and the distances from the current frame to the reference frames. For hardware implementation, the modified algorithm optimizes the search area, reduces the overlapping search area and modifies a division equation. Because the search area is reduced, the amount of computation is reduced by 58.7%. In experimental results, the modified algorithm shows an increase of bit-rate in 0.36% when compared with the five reference frame standard. The pipeline structure and the memory controller are also adopted for real-time video encoding. The proposed system is implemented using 0.13 um CMOS technology, and the gate count is 1089K with 6.50 KB of internal SRAM. It can encode a Full HD video (1920x1080P@30Hz) in real-time at a 135 MHz clock speed with 5 reference frames.

show abstract

“…The first feature is that the probability of selecting ref 3 and ref 4 is lower than 3%. The second feature is that ref 3 3 and ref 4 will be skipped.…”

Section: Fast Multi-frame Motion Estimation Algorithm With Adaptive Smentioning

confidence: 99%

Section: Fast Multi-frame Motion Estimation Algorithm With Adaptive Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Fast Multi-Reference Frame Integer Motion Estimator for H.264/AVC

Byun¹,

Kim²

2013

JSTS:Journal of Semiconductor Technology and Science

View full text Add to dashboard Cite

show abstract

“…To this end, the value of a pixel is subtracted from that of the corresponding pixel in the previous frame and then the absolute values of the differences are added for all the pixels in the block. This value is called the SAD (Sum of Absolute Difference) of the block [13]:…”

Section: Block-based Predictive Watershed Transform For Hardwarementioning

confidence: 99%

Block-Based Predictive Watershed Transform for Parallel Video Segmentation

Jang¹,

Lee²

2012

JSTS:Journal of Semiconductor Technology and Science

View full text Add to dashboard Cite

Abstract-Predictive watershed transform is a popular object segmentation algorithm which achieves a speed-up by identifying image regions that are different from the previous frame and performing object segmentation only for those regions. However, incorrect segmentation is often generated by the predictive watershed transform which uses only local information in merge-split decision on boundary regions. This paper improves the predictive watershed transform to increase the accuracy of segmentation results by using the additional information about the root of boundary regions. Furthermore, the proposed algorithm is processed in a block-based manner such that an image frame is decomposed into blocks and each block is processed independently of the other blocks. The block-based approach makes it easy to implement the algorithm in hardware and also permits an extension for parallel execution. Experimental results show that the proposed watershed transform produces more accurate segmentation results than the predictive watershed transform.

show abstract

“…Practically, video coding standards such as H.264/ AVC should be implemented in SoC, where area reduction is a major concern [2,3]. Especially, huge computation of HEVC results in extremely large area.…”

Section: Introductionmentioning

confidence: 99%

2-D Large Inverse Transform (16×16, 32×32) for HEVC (High Efficiency Video Coding)

Park¹,

Nam²,

Han³

et al. 2012

JSTS:Journal of Semiconductor Technology and Science

View full text Add to dashboard Cite

Abstract-This paper proposes a 16x16 and 32x32 inverse transform architecture for HEVC (High Efficiency Video Coding). HEVC large transform of 16x16 and 32x32 suffers from huge computational complexity. To resolve this problem, we proposed a new large inverse transform architecture based on hardware reuse. The processing element is optimized by exploiting fully recursive and regular butterfly structure. To achieve low area, the processing element is implemented by shifters and adders without multiplier. Implementation of the proposed 2-D inverse transform architecture in 0.18 m technology shows about 300 MHz frequency and 287 Kgates area, which can process 4K (3840x2160)@ 30 fps image.

show abstract

A Novel Spiral-Type Motion Estimation Architecture for H.264/AVC

Cited by 4 publications

References 15 publications

Design of a Fast Multi-Reference Frame Integer Motion Estimator for H.264/AVC

Design of a Fast Multi-Reference Frame Integer Motion Estimator for H.264/AVC

Block-Based Predictive Watershed Transform for Parallel Video Segmentation

2-D Large Inverse Transform (16×16, 32×32) for HEVC (High Efficiency Video Coding)

Contact Info

Product

Resources

About