Alaska, United States
Submission Deadline: Wednesday 13 Jan 2021
Conference Dates: Sep 19, 2021 - Sep 19, 2021
The conference focuses on Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Feature extraction. Topics like Image segmentation, Pixel, Image processing, Segmentation and Image texture are tackled as part of the discussions on Artificial intelligence. Scale-space segmentation and Segmentation-based object categorization are some of the facets of Image segmentation tackled in International Conference on Image Processing.
As a part of the event, discussions in Computer vision involve topics like Data compression, Iterative reconstruction, Motion estimation, Image resolution and Image (mathematics). Data compression research presented in International Conference on Image Processing encompasses a variety of subjects, including Transform coding and Image compression. International Conference on Image Processing explores research in Motion compensation and overlapping concepts in Block-matching algorithm and Multiview Video Coding to expand the discourse in Motion estimation.
The studies in Pattern recognition featured incorporate elements of Contextual image classification, Facial recognition system, Feature (computer vision) and Object detection. It holds forums on Algorithm that merges themes from other disciplines such as Theoretical computer science, Mathematical optimization and Coding (social sciences). Most of the Feature extraction studies addressed also intersect with Convolutional neural network.
The published articles are organized to reinforce research efforts on Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Image segmentation. The most cited articles connects research in Computer vision with the related topics of Algorithm. The most cited articles focus on Pattern recognition but the discussions also offer insight into other areas such as Contextual image classification, Facial recognition system and Histogram.
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at International Conference on Image Processing (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Conference on Image Processing (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 14.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.41% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.21% of all publications and 63.35% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Nov 11, 2023 - Nov 17, 2023
San Francisco, California, United States
Deadline: Thursday 02 Feb 2023
Jun 27, 2023 - Jul 01, 2023
Seattle, United States
Deadline: Wednesday 01 Feb 2023
Jun 04, 2023 - Jun 07, 2023
Anchorage, United States
Deadline: Wednesday 01 Feb 2023
Apr 04, 2023 - Apr 06, 2023
Orlando, United States
Deadline: Tuesday 31 Jan 2023
Sep 19, 2021 - Sep 19, 2021
Alaska, United States
Oct 16, 2022 - Oct 19, 2022
ICIP 2021 : IEEE International Conference on Image Processing
Thank you for information!