Apropos of Signal Processing [PDF]
, 2021 Many of the problems addressed by signal processing can be classified as detection, estimation, or prediction. All humans do signal processing every day.
Nandi, AK
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A motion parameters estimating method based on deep learning for visual blurred object tracking
IET Image Processing, 2021 Tracking the specific object in the blurred scenes is one of the challenging problems in computer vision and image processing. The accuracy and performance of trackers within the blur frames usually demonstrate a severe decrease.
Iman Iraei, Karim Faez
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Advanced techniques on multirate signal processing for digital information processing [PDF]
, 2011 Multirate signal processing has become a key topic enabling efficient techniques for digital information processing in a variety of applications such as digital transceivers s for wireless as well as satellite communication systems, digital broadcasting,
Massimiliano Laddomada +2 more
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Learning adaptive spatial–temporal regularized correlation filters for visual tracking
IET Image Processing, 2021 Recently, there have been many visual tracking methods based on correlation filters. These methods mainly enhance the tracking performances by considering the information of background, space, or time in the appearance model.
Jianwei Zhao, Yangxiao Li, Zhenghua Zhou
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Surveillance video motion segmentation based on the progressive spatio‐temporal tunnel flow model
Electronics Letters, 2021 Motion segmentation is the first and important step of surveillance video summarisation, and traditional motion segmentation methods usually process all video data, which seriously affects the real‐time performance of video synopsis.
Yunzuo Zhang, Wenxuan Li, Panliang Yang
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Real‐time long‐term tracking with reliability assessment and object recovery
IET Image Processing, 2021 In recent years, many visual tracking algorithms based on discriminative correlation filters have been proposed and proved to be successful in short‐term tracking.
Jun Liu +3 more
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Personalized video summarization based on group scoring [PDF]
, 2014 In this paper an expert-based model for generation of personalized video summaries is suggested. The video frames are initially scored and annotated by multiple video experts.
Kaveh Darabi +3 more
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Modelling and studying the effect of graph errors in graph signal processing
, 2021 Publisher Copyright: © 2021The first step for any graph signal processing (GSP) procedure is to learn the graph signal representation, i.e., to capture the dependence structure of the data into an adjacency matrix.
Miettinen, Jari +2 more
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MPEG-4 Software Video Encoding [PDF]
, 2013 A Thesis submitted in fulfillment of the requirements of the degree of doctor of Philosophy in the University of LondonThis thesis presents a software model that allows a parallel decomposition of the MPEG-4 video encoder onto shared memory ...
Hamosfakidis, Anastasios
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No-reference image and video quality assessment: a classification and review of recent approaches [PDF]
, 2014 The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality assessment has progressed rapidly during the last decade. In this
Lövström, Benny, +11 more
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