Conference Information

ICIVP 2026: International Conference on Image and Video Processing

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ICIVP
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Submission Date:
2026-08-30
Notification Date:
2026-09-25
Conference Date:
2026-11-18
Location:
Kyoto, Japan
Years:
Viewed: 17199   Tracked: 9   Attend: 0

Conference Partner Index (CP-I)

44.9 / 100
Ranked #2,779 of 5,647 conferences · Top 50%

#140 of 241 in Computer Vision & Pattern Recognition

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
33
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers following it here: 9 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-03

Call For Papers

ICIVP 2026 (International Conference on Image and Video Processing) is an academic conference held in Kyoto, Japan on 2026-11-18. The paper submission deadline is 2026-08-30. Acceptance notifications are sent on 2026-09-25.

Topics of Interest 1. Image Processing: Image enhancement Image segmentation Image filtering and restoration Morphological processing Image compression, coding, and encryption Image data structures for computer graphics Image generation, acquisition, and processing Image geometry and multi-view geometry 2. Video Processing and Analysis: Video stabilization and tracking Motion estimation and compensation Action recognition and classification Deep Learning for Image and Video Processing: 3. Feature Extraction and Representation: Feature detection (e.g., Harris corner detection, SIFT, SURF) Feature descriptors (e.g., Scale-Invariant Feature Transform, Local Binary Patterns) 4. Object Detection and Recognition: Object detection methods (e.g., Viola-Jones, R-CNN, YOLO) Object recognition techniques (e.g., template matching, deep learning-based approaches) 5. Deep Learning for Image and Video Processing: Convolutional Neural Networks (CNNs) for image classification and segmentation Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for video analysis Generative models (e.g., GANs) for image synthesis and enhancement 6. Applications of Image and Video Processing: Medical image analysis Surveillance and security (e.g., face recognition, anomaly detection) Augmented reality and virtual reality Remote sensing and satellite image analysis
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