An adaptive fast multiple reference frame selection algorithm for H.264/AVC using reference region data

Lee, Kangjun; Jeon, Gwanggil; Falcón, Rafael; Ha, Changwoo

doi:10.1109/sips.2009.5336231

Cited by 2 publications

(3 citation statements)

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“…3,4 The coding gain mainly comes from many of new sophisticated techniques such as the integer transform, deblocking filtering, quarter-sample accuracy for motion compensation, multiple reference frame motion estimation (MRF-ME), etc. 2,5,6 Motion estimation (ME) is a process to find a prediction of pixels in the current frame from a reference frame, and it is a key step of frame rate up-conversion [7][8][9][10] and video coding. 11,12 For frame rate up-conversion, the best prediction is the one that results in the highest accuracy of motion trajecPaper 10209R received Dec. 2, 2010; revised manuscript received Apr.…”

Section: Introductionmentioning

confidence: 99%

“…Various fast algorithms 4,6,[16][17][18][19][20][21][22][23][24][25][26][27] have been proposed in the literature to reduce the computational complexity caused by MRF-ME. These algorithms can be classified into two categories.…”

Section: Introductionmentioning

confidence: 99%

“…The first category is to employ early termination in MRF-ME by the consideration of the specific condition at a certain reference frame. 6,14,15,[17][18][19][20][21] The condition always depends on spatial and temporal correlation in video sequences. 16,27 However, the early termination approach might select an undesirable reference frame, and the threshold value for early termination usually relies on the characteristics of video sequences.…”

Section: Introductionmentioning

confidence: 99%

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Reliable tracking algorithm for multiple reference frame motion estimation

Lee

Chan

et al. 2011

J. Electron. Imaging

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Abstract. Multiple reference frame motion estimation (MRF-ME) is one of the most crucial tools in H.264/AVC to improve coding efficiency. However, it disciplines an encoder by giving extra computational complexity. The required computation proportionally expands when the number of reference frames used for motion estimation increases. Aiming to reduce the computational complexity of the encoder, various motion vector (MV) composition algorithms for MRF-ME have been proposed. However, these algorithms only perform well in a limited range of reference frames. The performance deteriorates when motion vector composition is processed from the current frame to a distant reference frame. In this paper, a reliable tracking mechanism for MV composition is proposed by utilizing only the relevant areas in the target macroblock and taking different paths through a novel selection process from a set of candidate motion vectors. The proposed algorithm is especially suited for temporally remote reference frames in MRF-ME. Experimental results show that compared with the existing MV composition algorithms, the proposed one can deliver a remarkable improvement on the rate-distortion performance with similar computational complexity.

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