A survey on video compression fast block matching algorithms

Hussain, Abir Jaafar; Ahmed, Zaynab

doi:10.1016/j.neucom.2018.10.060

Cited by 18 publications

(9 citation statements)

References 107 publications

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“…In recent years, with the rapid development of multimedia and network technology, video, image, computer vision, multimedia database, and computer network technology are increasingly integrated, covering all aspects of the national economy and social life. Video processing, video coding, and video communication, which are in the core position, have become the frontier fields and hot topics of information and communication engineering [1]. Among them, with the gradual penetration of multimedia, the boundaries among videos, graphics, computer vision, multimedia database, and computer network become blurred, making video processing a multi-disciplinary research field [2].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

Wan

2022

Journal of Mathematics

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To improve the video quality, aiming at the problems of low peak signal-to-noise ratio, poor visual effect, and low bit rate of traditional methods, this paper proposes a fast compensation algorithm for the interframe motion of multimedia video based on Manhattan distance. The absolute median difference based on wavelet transform is used to estimate the multimedia video noise. According to the Gaussian noise variance estimation result, the active noise mixing forensics algorithm is used to preprocess the original video for noise mixing, and the fuzzy C-means clustering method is used to smoothly process the noisy multimedia video and obtain significant information from the multimedia video. The block-based motion idea is to divide each frame of the video sequence into nonoverlapping macroblocks, find the best position of the block corresponding to the current frame in the reference frame according to the specific search range and specific rules, and obtain the relative Manhattan distance between the current frame and the background of multimedia video using the Manhattan distance calculation formula. Then, the motion between the multimedia video frames is compensated. The experimental results show that the algorithm in this paper has a high peak signal-to-noise ratio and a high bit rate, which effectively improves the visual effect of the video.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

Wan

2022

Journal of Mathematics

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“…Scalar quantization and vector quantization are the two types of quantization used in compression techniques. [36] Defining the set size of quantization in video coding standard is the important part in providing compression efficiency. When the step size is coarse, compression ratio is high with less quality of reconstructed one.…”

Section: Quantizationmentioning

confidence: 99%

State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval

Megala¹

2021

TURCOMAT

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Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standards, describes the main concepts involved in video coding. Video compression performs conversion of large raw bits of video sequence into a small compact one, achieving high compression ratio with good video perceptual quality. Removing redundant information is the main task in the video sequence compression. A survey on various block matching algorithms, quantization and entropy coding are focused. It is found that many of the methods having computational complexities needs improvement with optimization.

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“…Mariana Afonso,et. al.,[21] proposed a framework on spatio-temporal resolution adapted video compression involving integration of spatial and temporal adaption, computing features from unencoded input video frames in Quantization resolution Module determining optimal resolutions to encode the frames. For resolution upscaling and frame repetition at decoder, CNN based on super resolution model is constructed which is having high complexity for spatio-temporal resampling.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Analysis On Efficient Multimedia Storage Mechanism In Public Cloud Environment With Secured Access

Megala¹

2021

TURCOMAT

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Dynamic on-demand service has become the crucial part in cloud computing according to the user’s requirements. Cloud storage is clearly the top choice for archiving media assets, by choosing the public cloud for active, deep archive needs. Video on demand, media distribution system in cloud allowing users to access video, facilitating immediate download and view of data without traditional video playback devices. On demand service of video requires infrastructure resources to handle large load fluctuations. Major challenges of video demand services are delays in simultaneous video uploading, processing, accessing and traffic caused by exhaust services. Also, there are concerns over the security of assets stored in a public cloud remains. In this paper, an ample analysis is presented on file storage encompassing fragmentation, compression, encryption security concerns in cloud storage and access. The limitations in the existing is also provided and hence outlined the research direction towards an efficient storage mechanism with a secured access providing a reliable media data transmission between data owner and users in public cloud environment.

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A survey on video compression fast block matching algorithms

Cited by 18 publications

References 107 publications

[Retracted] Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

[Retracted] Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval

A Comprehensive Analysis On Efficient Multimedia Storage Mechanism In Public Cloud Environment With Secured Access

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