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Journal Of Real-time Image Processing

Journal Of Real-time Image ProcessingSCIE

國際簡稱:J REAL-TIME IMAGE PR  參考譯名:實時圖像處理雜志

  • 中科院分區(qū)

    4區(qū)

  • CiteScore分區(qū)

    Q2

  • JCR分區(qū)

    Q2

基本信息:
ISSN:1861-8200
E-ISSN:1861-8219
是否OA:未開放
是否預(yù)警:否
TOP期刊:否
出版信息:
出版地區(qū):GERMANY
出版商:Springer Berlin Heidelberg
出版語言:English
出版周期:6 issues per year
出版年份:2006
研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
評價信息:
影響因子:2.9
H-index:27
CiteScore指數(shù):6.8
SJR指數(shù):0.698
SNIP指數(shù):1.092
發(fā)文數(shù)據(jù):
Gold OA文章占比:10.22%
研究類文章占比:100.00%
年發(fā)文量:120
自引率:0.0666...
開源占比:0.0782
出版撤稿占比:0
出版國人文章占比:0.26
OA被引用占比:0.0452...
英文簡介 期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡介Journal Of Real-time Image Processing期刊介紹

Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed.

Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application.

It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system.

The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.

期刊簡介Journal Of Real-time Image Processing期刊介紹

《Journal Of Real-time Image Processing》自2006出版以來,是一本計算機(jī)科學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果,并為計算機(jī)科學(xué)各個領(lǐng)域的原創(chuàng)研究提供一個展示平臺,以促進(jìn)計算機(jī)科學(xué)領(lǐng)域的的進(jìn)步。該刊鼓勵先進(jìn)的、清晰的闡述,從廣泛的視角提供當(dāng)前感興趣的研究主題的新見解,或?qū)彶槎嗄陙砟硞€重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時報道計算機(jī)科學(xué)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫SCIE收錄,得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點:

Cite Score數(shù)據(jù)(2024年最新版)Journal Of Real-time Image Processing Cite Score數(shù)據(jù)

  • CiteScore:6.8
  • SJR:0.698
  • SNIP:1.092
學(xué)科類別 分區(qū) 排名 百分位
大類:Computer Science 小類:Information Systems Q2 103 / 394

73%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻(xiàn)計量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ),針對的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評價。

歷年Cite Score趨勢圖

中科院SCI分區(qū)Journal Of Real-time Image Processing 中科院分區(qū)

中科院 2023年12月升級版 綜述期刊:否 Top期刊:否
大類學(xué)科 分區(qū) 小類學(xué)科 分區(qū)
計算機(jī)科學(xué) 4區(qū) IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科學(xué)與照相技術(shù) COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機(jī):人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:電子與電氣 3區(qū) 4區(qū) 4區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ),運用科學(xué)計量學(xué)方法對國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級劃分的期刊評價標(biāo)準(zhǔn)。它為我國科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評價國際學(xué)術(shù)期刊影響力的參考數(shù)據(jù),得到了全國各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個層次,類似于“優(yōu)、良、及格”等。最開始,這個分區(qū)只是為了方便圖書管理及圖書情報領(lǐng)域的研究和期刊評估。之后中科院分區(qū)逐步發(fā)展成為了一種評價學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢圖

JCR分區(qū)Journal Of Real-time Image Processing JCR分區(qū)

2023-2024 年最新版
按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 95 / 197

52%

學(xué)科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 143 / 352

59.5%

學(xué)科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q2 18 / 36

51.4%

按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 113 / 198

43.18%

學(xué)科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 176 / 354

50.42%

學(xué)科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q3 19 / 36

48.61%

JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評估。不同學(xué)科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質(zhì)量可能是存在一定問題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢圖

發(fā)文數(shù)據(jù)

2023-2024 年國家/地區(qū)發(fā)文量統(tǒng)計
  • 國家/地區(qū)數(shù)量
  • CHINA MAINLAND183
  • USA47
  • India36
  • Spain36
  • France34
  • England32
  • South Korea31
  • Taiwan27
  • GERMANY (FED REP GER)25
  • Brazil19

本刊中國學(xué)者近年發(fā)表論文

  • 1、Image perceptual hashing for content authentication based on Watson's visual model and LLE

    Author: Xing, Huifen; Che, Hui; Wu, Qilin; Wang, Honghai

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01269-9

  • 2、Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection

    Author: Wei, Xing; Yao, Shang; Zhao, Chong; Hu, Di; Luo, Hui; Lu, Yang

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01277-9

  • 3、A real-time and effective text detection method for multi-scale and fuzzy text

    Author: Tong, Guoxiang; Dong, Ming; Song, Yan

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01267-x

  • 4、An improved lightweight and real-time YOLOv5 network for detection of surface defects on indocalamus leaves

    Author: Tang, Zhe; Zhou, Lin; Qi, Fang; Chen, Huarong

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01281-z

  • 5、FESSD:SSD target detection based on feature fusion and feature enhancement

    Author: Qian, Huaming; Wang, Huilin; Feng, Shuai; Yan, Shuya

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01258-y

  • 6、Fast segmentation algorithm of PCB image using 2D OTSU improved by adaptive genetic algorithm and integral image

    Author: Ma, Jiaocheng; Cheng, Xiaodong

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01272-0

  • 7、DeoT: an end-to-end encoder-only Transformer object detector

    Author: Ding, Tonghe; Feng, Kaili; Wei, Yanjun; Han, Yu; Li, Tianping

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01280-0

  • 8、Real-time detection algorithm of helmet and reflective vest based on improved YOLOv5

    Author: Chen, Zhihua; Zhang, Fan; Liu, Hongbo; Wang, Longxuan; Zhang, Qian; Guo, Liulu

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2023; Vol. 20, Issue 1, pp. -. DOI: 10.1007/s11554-023-01268-w

投稿常見問題

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