Improved Hybrid Block-Based Motion Estimation for Inter-frame Coding

Salih, Yusra Ahmed; George, Loay E.

doi:10.1007/s00034-020-01637-x

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Baraskar et al surveyed block-based search, dividing traditional methods into non-rectangular search, rectangular search, and multi-pattern search [18]. In recent years, various strategies such as deformable convolution [19], hierarchical hybrid [20], and new optimizer [21] were also applied on BBME. Optical flow-based researches mainly stemmed from Horn-Schunck(HS) [22] and Lucas-Kanade(LK) [23] approaches.…”

Section: Information Augmentationmentioning

confidence: 99%

Go Deep into Super-Resolution: A Systematic Review Based on Problem Decomposition and Classification

Zhou

2023

ACE

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Super-resolution (SR) has been attracting research attention in recent decades because of the growing demand for higher resolution. A large variety of algorithms in the computer vision field was applied to improve this issue. In this paper, we provide a problem-based analysis for the SR problem by dissembling the original issue into several subproblems. We broadly bring these problems under three main levels, information augmentation, mapping, and orientation and control. Furthermore, we elaborate on various research perspectives under each level, summarizing typical and advanced algorithms improved on related processes. Besides, we discuss the similar ideas and evolutionary relationships revealed in different methods. We also arrange some popular datasets and competitions in the SR field. By doing this, we aim to inspire deeper investigation and enlighten possible research sites of SR problems in the future.

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Section: Information Augmentationmentioning

confidence: 99%

Go Deep into Super-Resolution: A Systematic Review Based on Problem Decomposition and Classification

Zhou

2023

ACE

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“…In Mishra and Kohli (2021)), numerous obtainable equivalent conditions were reviewed depending on the mean search places-to-blocks, average MAD per pixel, and average PSNR. The authors in Salih and George (2021) presented a novel, rapid, hybrid BME technique for 'initial searching point forecast' and 'improvement termination searching point' approaches. The technique integrated rough-adaptive and effectual-local searches.…”

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confidence: 99%

An intelligent optimization algorithm with a deep learning‐enabled block‐based motion estimation model

Mishra

Kohli

2022

Expert Systems

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The motion estimation process has gained significant attention in several video applications such as video compression, global motion estimation, and so on. The deep learning (DL) models that perform effectively in computer vision tasks can be employed for motion estimation. Yet, they have high computational complexity and model parameters since motion estimation in the pixel domain is not effective in practical applications. Instead, a block-based motion estimation process has been developed where the blocks of sequential images are compared. To that end, this paper presents the Anas platyrhynchos optimizer with deep learning-enabled blockbased motion estimation (APODL-BBME) model. The proposed model estimates motion using block-based concepts and DL approaches. To accomplish this, the training and testing frames are separated into non-overlapping block categories, and the blocks are filtered via the bilateral filtering (BF) approach. In addition, a histogram of gradients (HOG) and densely connected network (DenseNet) model are employed to extract features, which are then fed into the bidirectional long short-term memory (BiLSTM) model to classify the input features. Finally, the APO algorithm is applied to optimally tune the hyperparameters of the BiLSTM model, which helps to improve the overall motion estimation efficacy, showing the novelty of the work. To demonstrate the enhanced performance of the APODL-BBME model, a comprehensive analysis is carried out, and when we compare the results, the APODL-BBME model outperforms recent motion estimation approaches.

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Efficient Block Matching Motion Estimation Using Variable-Size Blocks and Predictive Tools

Mirjalili,

Mousavinia

2024

Circuits Syst Signal Process

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Improved Hybrid Block-Based Motion Estimation for Inter-frame Coding

Cited by 4 publications

References 19 publications

Go Deep into Super-Resolution: A Systematic Review Based on Problem Decomposition and Classification

Go Deep into Super-Resolution: A Systematic Review Based on Problem Decomposition and Classification

An intelligent optimization algorithm with a deep learning‐enabled block‐based motion estimation model

Efficient Block Matching Motion Estimation Using Variable-Size Blocks and Predictive Tools

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