Submission Deadline: Sunday 13 Dec 2020
Conference Dates: Jul 05, 2021 - Jul 09, 2021
International Conference on Multimedia and Expo investigates studies in Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Multimedia. Artificial intelligence research discussed connects with the study of Machine learning. The conference explores research in Algorithm and overlapping concepts in Real-time computing to expand the discourse in Computer vision.
While work presented in it provided substantial information on Pattern recognition, it also covered topics in Contextual image classification, Image (mathematics), Image retrieval and Speech recognition. Image retrieval and Information retrieval are closely related fields of research discussed in the conference. The study on Speech recognition presented is investigated in conjunction with research in Audio signal processing.
Concepts in The Internet, as well as related topics in Computer network, are covered in the Multimedia research presented in the event. International Conference on Multimedia and Expo covers Image segmentation research under the subject of Segmentation. Most of the works presented in International Conference on Multimedia and Expo deals with Data compression but it intersects with the subject of Transform coding.
The published papers are mainly concerned with subjects like Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Speech recognition. The conference publications focus on Artificial intelligence as well as the interrelated topics of Machine learning. The conference publications with studies in Pattern recognition featured incorporate elements of Facial recognition system and Histogram.
The topics of Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Convolutional neural network are the focal point of discussions in International Conference on Multimedia and Expo. The conference addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Task analysis. In it, Artificial neural network, Face (geometry) and Benchmark (computing) are investigated in conjunction with one another to address concerns in Pattern recognition research.
Feature extraction is the main point of discussion in International Conference on Multimedia and Expo but it also connects with fields such as
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 Multimedia and Expo (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 Multimedia and Expo (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 2019 edition, 3.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.23% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.60% of all publications and 28.84% 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.
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Deadline: Friday 07 Jul 2023
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IEEE International Conference on Multimedia and Expo (ICME) 2021
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