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International Conference on Digital Image Computing: Techniques and Applications

International Conference on Digital Image Computing: Techniques and Applications

Sydney , Australia

Submission Deadline: Monday 22 Aug 2022

Conference Dates: Nov 30, 2022 - Dec 02, 2022

Research
Impact Score 1.70

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.70
Contributing Best Scientists: 42
H5-index:
Papers published by Best Scientists 79
Research Ranking (Computer Science) 420

Conference Call for Papers

Topics include, but are not limited to, the following:
Computer vision
Image coding and processing
Statistical and structural pattern recognition
Machine learning
Shape and texture analysis
Content-based image retrieval and image database
Image analysis and understanding
Biomedical and e-health applications
Surveillance, defence and industrial applications
Earth Observation and Remote Sensing
Medical Image Analysis
Human-computer interaction

Overview

Top Research Topics at Digital Image Computing: Techniques and Applications?

  • Artificial intelligence (77.28%)
  • Computer vision (50.67%)
  • Pattern recognition (34.59%)

Digital Image Computing: Techniques and Applications mainly deals with areas of study such as Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Image segmentation. The event features Artificial intelligence research that overlaps with concepts in Machine learning. Digital Image Computing: Techniques and Applications explores topics in Computer vision which can be helpful for research in disciplines like Algorithm and Robustness (computer science).

It holds forums on Pattern recognition that merges themes from other disciplines such as Contextual image classification, Facial recognition system, Artificial neural network and Feature (computer vision). Research in Facial recognition system discussed is concerned with the study of Face (geometry) as a whole. The research on Feature extraction tackled can also make contributions to studies in the areas of Visualization and Support vector machine.

Presentations on Image segmentation include those discussing Scale-space segmentation and Image texture. The conference is focused mainly on Scale-space segmentation, particularly Segmentation-based object categorization. The research on Convolutional neural network discussed in it draws on the closely related field of Deep learning.

What are the most cited papers published at the conference?

  • Understanding Data Augmentation for Classification: When to Warp? (318 citations)
  • Phase Congruency Detects Corners and Edges (313 citations)
  • Crowd Counting Using Multiple Local Features (240 citations)

Research areas of the most cited articles at Digital Image Computing: Techniques and Applications:

The main points discussed in the most cited articles deal with Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Image segmentation. Many of the studies tackled in the most cited papers connect Artificial intelligence with a similar field of study like Machine learning. The most cited publications address concerns in Pattern recognition which are intertwined with other disciplines, such as Facial recognition system and Feature (computer vision).

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Computer vision
  • Statistics

The previous edition focused in particular on these issues:

Digital Image Computing: Techniques and Applications investigates areas of study like Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Deep learning. The studies tackled, which mainly focus on Artificial intelligence, apply to Machine learning as well. The conference dives deep in exploring the relationship between the study of Pattern recognition and Cluster analysis.

It focuses on Computer vision but sometimes tackles the closely related topic of Initialization which is concerned with Video tracking. Class (biology), Object (computer science), Contextual image classification, Discriminative model and Remote sensing are some topics wherein Convolutional neural network research discussed in Digital Image Computing: Techniques and Applications have an impact. The event explores research in Deep learning alongside concepts in Object detection and other areas of study in Benchmark (computing).

The most cited articles from the last conference are:

  • Prediction and Localization of Student Engagement in the Wild (29 citations)
  • Table Detection in Document Images using Foreground and Background Features (21 citations)
  • Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss (16 citations)

Papers citation over time

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.

Research.com

The top authors publishing at Digital Image Computing: Techniques and Applications (based on the number of publications) are:

  • Sridha Sridharan (33 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Clinton Fookes (28 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Simon Denman (23 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Yongsheng Gao (22 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Mark R. Pickering (19 papers) published 5 papers at the last edition.

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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Digital Image Computing: Techniques and Applications (based on the number of publications) are:

  • Queensland University of Technology (60 papers) published 5 papers at the last edition, 3 less than at the previous edition,
  • Australian National University (48 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • University of New South Wales (46 papers) published 12 papers at the last edition, 6 more than at the previous edition,
  • University of Queensland (42 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Commonwealth Scientific and Industrial Research Organisation (41 papers) published 4 papers at the last edition, 5 less than at the previous edition.

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.

Research.com

Publication chance based on affiliation

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.

Research.com

During the most recent 2018 edition, 3.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.94% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.01% of all publications and 28.32% were from other institutions.

Returning Authors Index

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.

Research.com

Returning Institution Index

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.

Research.com

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

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