A framework for video coding analyzer

Jain, Sakshi; Fell, Alexander; Motra, Ajit Singh

doi:10.1109/indicon.2016.7838913

Cited by 1 publication

(1 citation statement)

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“…The HEVC analyser help video coding professional in analysing and visualizing the statistics of inherent design elements. Some of the popular HEVC analysers are GitlHEVCAnalyzer, openHEVC, Zond265, Elecard StreamEye, Parabola Explorer and CodecVisa [17,18]. Among these GitlHEVCAnalyzer and openHEVC provide opensource implementations, while the rest are commercial analysers.…”

Section: Hevc Toolsmentioning

confidence: 99%

A Review on HEVC Video Forensic Investigation under Compressed Domain

Singla¹,

Nagpal²,

Singh³

2022

IJIGSP

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In recent years, video forensic investigation has become a prominent research area, due to the adverse effect of fake videos on networks, people and society. This paper summarizes all the existing methodologies used for forgery detection in H.265/HEVC videos. HEVC video forgery is generally classified into two categories as video quality forgery and video content forgery. The occurrence of various forgeries such as transcoding, fake-bitrate, inter-frame forgery and intra-frame forgery is deeply analyzed based on features extracted from the HEVC compression domain. The major findings of this research are (i) Less focus on transcoding detection, (ii) Non-availability of HEVC forged video dataset (iii) More focus on double compression detection for forgery detection, and (iv) Non-consideration of adaptive-GOP structure. The forgery detection in the video is critically important due to its wide use as the primary source of information in criminal investigations and proving the authenticity of contents. So, the forgery detection accuracy is of major concern at the present time. Although, various forgery detection methods are developed in past but the findings of this review point out the need of developing more effective detection methods with high accuracy.

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Section: Hevc Toolsmentioning

confidence: 99%