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Wireless Precise Manipulation of Tumor Spheroids Using a Millirobot Controlled by Permanent Magnetic Traps

Advanced Robotics Research, EarlyView.
A magnetic donut‐like millirobot is developed for label‐free pick‐and‐place of a tumor spheroid wirelessly controlled by a magnetic trap. Spheroids are important 3D multicellular culture systems that recapitulate key structural and functional features of native tissues.
Yue Gao, Moonkwang Jeong, Anni G. Muñoz, Ann‐Sophia Müller, Fangchao Long, Shengqiang Zhou, Juntian Qu, Leoni A. Kunz‐Schughart, Tian Qiu   +8 more
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No-reference screen content video quality assessment

Displays, 2021
Abstract How to effectively and accurately measure the degradation of media content is an important research topic in the field of image or video processing. Application scenarios such as online meetings, distance learning, and live game streaming make screen content video become a hot spot in Video Quality Assessment (VQA) research.
Teng Li 0006, Xiongkuo Min, Wenhan Zhu, Yiling Xu, Wenjun Zhang 0001   +4 more
openaire   +2 more sources

COME for No-Reference Video Quality Assessment

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2018
Nowadays, the issue of objective Video Quality Assessment (VQA) has been extensively studied. In this paper, we present an effective general-purpose VQA method named COnvolutional neural network and Multi-regression based Evaluation (COME). It requires no referred lossless video and is universal for non-specific types of distortion.
Chunfeng Wang, Li Su 0003, Weigang Zhang
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No-reference video quality assessment in the compressed domain

IEEE Transactions on Consumer Electronics, 2012
In this paper, a novel no-reference video quality assessment algorithm in the compressed domain is introduced. The proposed algorithm takes into account of three key factors; the quantization parameter, the motion, and the bit allocation factor which are calculated using the information extracted from the compressed bitstream.
Xiangyu Lin, Hanjie Ma, Lei Luo, Yaowu Chen   +3 more
openaire   +2 more sources

Semantic Information Oriented No-Reference Video Quality Assessment

IEEE Signal Processing Letters, 2021
In this letter, a method called Semantic Information Oriented No-Reference (SIONR) video quality assessment model is developed, which can effectively represent quality degradation of video by taking the variations of semantic information into consideration.
Wei Wu, Qinyao Li, Zhenzhong Chen 0001, Shan Liu 0001   +3 more
openaire   +1 more source

No-reference video quality assessment on mobile devices

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2013
The explosive growth of video applications and services on mobile devices has made it important to assess video quality. In this paper, we propose a no-reference video quality assessment method for mobile videos. Based on the analysis on common mobile video impairments, three features (blockiness, blurriness and noise) were extracted.
Chen Chen, Li Song, Xiangwen Wang, Meng Guo   +3 more
openaire   +2 more sources

No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble

Proceedings of the 29th ACM International Conference on Multimedia, 2021
Blind assessment of video quality is still challenging even in this deep learning era. The limited number of samples in existing databases is insufficient to learn a good feature extractor for video quality assessment (VQA), while manually labeling a larger database with subjective perception is very labor-intensive and time-consuming.
Jinjian Wu, Yongxu Liu 0001, Leida Li, Weisheng Dong, Guangming Shi   +4 more
openaire   +1 more source

Full-Reference Quality Assessment for Video Summary

2008 IEEE International Conference on Data Mining Workshops, 2008
As video summarization techniques have attracted more and more attention for efficient multimedia data management, quality assessment of video summary is required. To address the lack of automatic evaluation techniques, this paper proposes a novel framework including several new algorithms to assess the quality of the video summary against a given ...
Tongwei Ren, Yan Liu 0004, Gangshan Wu
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No-Reference Video Shakiness Quality Assessment

2017
Video shakiness is a common problem for videos captured by hand-hold devices. How to evaluate the influence of video shakiness on human perception and design an objective quality assessment model is a challenging problem. In this work, we first conduct subjective experiments and construct a data-set with human scores.
Zhaoxiong Cui, Tingting Jiang 0001
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Reduced-Reference Video Quality Assessment of Compressed Video Sequences

IEEE Transactions on Circuits and Systems for Video Technology, 2012
In this paper, a novel reduced-reference (RR) video quality assessment (VQA) is proposed by exploiting the spatial information loss and the temporal statistical characteristics of the interframe histogram. From the spatial perspective, an energy variation descriptor (EVD) is proposed to measure the energy change of each individual encoded frame, which ...
Lin Ma 0002, Songnan Li, King Ngi Ngan
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