Quality assessment for wireless capsule endoscopy videos compressed via HEVC: From diagnostic quality to visual perception

Usman, Muhammad Arslan; Shin, Soo Young

doi:10.1016/j.compbiomed.2017.10.007

Cited by 22 publications

(18 citation statements)

References 19 publications

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“…The subjective tests for the aforementioned datasets and their corresponding results are thoroughly presented in [3] [7]. In this section, we have used the subjective measurements in the form of DMOS from these two datasets to evaluate the performance of VMAF and of the other FR-VQMs considered for comparison.…”

Section: Resultsmentioning

confidence: 99%

“…Wireless capsule endoscopy, or WCE, is a process in which a wireless capsule-shaped swallowable medical device is used to record imagery of the gastro-intestinal (GI) tract of living beings [22]. The information related to the WCE dataset provided in this subsection has been extracted from [3]. The WCE videos used in this study comprise ten different pathologies which are described in [3], along with the snapshot of each pathology.…”

Section: B Dataset For Wireless Capsule Endoscopy Videos [3]mentioning

confidence: 99%

“…The information related to the WCE dataset provided in this subsection has been extracted from [3]. The WCE videos used in this study comprise ten different pathologies which are described in [3], along with the snapshot of each pathology. Each video in this dataset was compressed using the state-of-the-art HEVC encoder at eight different compression levels.…”

Section: B Dataset For Wireless Capsule Endoscopy Videos [3]mentioning

confidence: 99%

“…With billions of videos being streamed, shared, downloaded every day, it is crucial to maintain quality of service (QoS) and quality of experience (QoE) [1]. Especially for video-related applications and services the need for provision of quality of experience to the consumers becomes inevitable [1][2][3]. Telemedicine, image guided surgery, tele-surgery, etc., are becoming increasingly popular, as modern communication systems support high data rates hence allowing seamless delivery of videos to the end users [4].…”

Section: Introductionmentioning

confidence: 99%

“…In medical videos, compression artifacts should not lead to medical errors as it can have dire consequences, in particular in the form of false diagnosis. Recent studies on HEVC compressed medical imagery, such as medical ultrasound and wireless capsule endoscopy (WCE) videos [3] [7][8][9], have shown that HEVC allows high amounts of compression without reducing the perceptual and diagnostic quality of the medical videos.…”

Section: Introductionmentioning

confidence: 99%

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On the suitability of VMAF for quality assessment of medical videos: Medical ultrasound & wireless capsule endoscopy

Usman

Martini

2019

Computers in Biology and Medicine

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With the rapid evolution in modern multimedia networks and systems, services such as telemedicine and telesurgery are becoming more popular. Quality estimation and monitoring of medical videos is becoming important not only in the field of research, but also in real-time applications and services. The state-of-the-art video quality metric (VQM) called Video Multimethod Assessment Fusion (VMAF) is a promising solution for quality estimation of videos impaired by compression and scaling artifacts. The metric was developed by Netflix for entertainment video content and its good performance does not necessarily extend to medical video. This paper focuses on evaluating the performance of VMAF in the context of quality assessment (QA) for medical videos. We consider in this paper medical video compressed via High Efficiency Video Coding (HEVC) and refer in particular to medical ultrasound videos and wireless capsule endoscopy (WCE) videos for the performance estimation of VMAF. The correlation between the subjective scores of these two datasets and VMAF's quality estimates is studied and presented. The results show that VMAF outperforms other state-of-the-art VQMs in the context of WCE videos, but this is not the case for medical ultrasound videos. Index Terms-High efficiency video coding, objective video quality assessment, subjective video quality assessment, medical ultrasound imagery, wireless capsule endoscopy.

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Section: Resultsmentioning

confidence: 99%