A real time HDTV motion estimation architecture for the new MPDS algorithm

Sanchez, Gustavo; Noble, Diego; Porto, Marcelo; Agostini, Luciano

doi:10.1109/eurocon.2011.5929249

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…Due to such high computational cost, this field has gone through a tremendous research activity. There are many type of ME algorithms such as Three Step Search (TSS) [7], New Three Step Search (NTSS) [8], Simple and Efficient Search (SES) [9], Four Step Search (FSS) [10], Diamond Search (DS) [11], Hardware Modified Diamond Search (MDS) [12], Adaptive Rood Pattern Search (ARPS) [13] and Cross Diamond Search (CDS) [14]. Moreover, a merge and split procedures based fast variable block-size motion estimation algorithm is proposed in [15] for MPEG-4/ H.264 and to increase the coding efficacy of latest video encoder like ITU-T H.263and MPEG-4 visual, a multi-frame prediction based algorithm is proposed in [16].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Prediction based Diamond Search Algorithm (APDS) for Video Encoder of Solar Powered UAV

Khokhar¹,

Harasani²

2016

IJCA

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Unmanned Aerial Vehicle (UAV) provide bird's eye view over an intersection or a large area, and provide real-time surveillance of area under observation. UAVs have been playing a vital role in disaster management due to the increased sensing and processing capabilities. This paper proposes a fast adaptive prediction based diamond search Motion Estimation (ME) algorithm for Sun Falcon 2, a solar powered UAV's video encoder to cope the computational complexity, low power and increased quality of ME process requirement. Results show that the proposed Adaptive Predict Diamond Search (APDS) ME algorithm performs best in the term of PSNR, MSE and number of Search Points (SP), for approximately all the video sequences. Moreover, performance of APDS is decreased a little bit in term of number of SP when compared to Hexagon search algorithm but its PSNR is still considerably high for those video sequences. The average PSNR improvement rate of APDS is 0.62, 2.67, 0.82, 0.83 and 2.31 for Diamond Search (DS), HexBS, FHS, FSS and MDS respectively, while the average SIR is 25. 4404, 6.3374, 48.274 and 205.55 for DS, FHS, FSS and MDS respectively.

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Section: Introductionmentioning

confidence: 99%

Adaptive Prediction based Diamond Search Algorithm (APDS) for Video Encoder of Solar Powered UAV

Khokhar¹,

Harasani²

2016

IJCA

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“…Apply LDSP again in last step and MBD point declared as best MV. Therefore, it can be noted that the MDS algorithm always use a fixed 41 search points in each step to calculate each MV [14]. …”

Section: Hardware Modified Diomand Search (Mds)mentioning

confidence: 99%

“…Due to such high computational cost, this field has gone through a tremendous research activity. There are many type of ME algorithms such as Three Step Search (TSS) [9], New Three Step Search (NTSS) [10], Simple and Efficient Search (SES) [11], Four Step Search (FSS) [12], Diamond Search (DS) [13], Hardware Modified Diamond Search (MDS) [14], Adaptive Rood Pattern Search (ARPS) [15] and Cross Diamond Search (CDS) [16]. Moreover, a merge and split procedures based fast variable block-size motion estimation algorithm is proposed in [17] for MPEG-4/ H.264 and to increase the coding efficacy of latest video encoder like ITU-T H.263and MPEG-4 visual, a multi-frame prediction based algorithm is proposed in [18].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

Khokhar¹,

Harasani²

2015

IJCA

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Motion Estimation (ME) is an integral part of any video encoder and a large number of Block Matching Motion Estimation (BMME) Algorithms are proposed to cope the computational complexity and increase quality of ME process requirement. Therefore, it is necessary to evaluate the performance of these ME algorithms for different motion activities. In this paper five fast famous BMME algorithms are considered to evaluate their performance on the basis of ME time, search points, PSNR and Means Square Error (MSE). The algorithms evaluated in this paper are considered for state of the art video compression standards like MPEG 1, to MPEG4 and H.261 to H.264. Results show that the PSNR of Diamond Search (DS) is best for all test video sequences, whereas, Hardware Modified DS takes maximum number of search points to calculate motion vector. Moreover, hexagon search algorithm takes minimum number of search points but its PSNR is considerably lower than the other algorithms.

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A real time HDTV motion estimation architecture for the new MPDS algorithm

Cited by 2 publications

References 4 publications

Adaptive Prediction based Diamond Search Algorithm (APDS) for Video Encoder of Solar Powered UAV

Adaptive Prediction based Diamond Search Algorithm (APDS) for Video Encoder of Solar Powered UAV

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

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