2026 2nd International Conference on Image and Video Processing (ICIVP 2026)
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About this event
2026 2nd International Conference on Image and Video Processing (ICIVP 2026)
Date: November 18–20, 2026
Venue: Kyoto Institute of Technology, Kyoto, Japan
Event Type: Academic and Research Conference focused on Image and Video Processing
The 2026 2nd International Conference on Image and Video Processing (ICIVP 2026) will convene in Kyoto, Japan, from November 18 to 20, 2026. Hosted at the Kyoto Institute of Technology, this conference aims to bring together researchers, practitioners, and industry professionals to share advancements in image and video processing. The event emphasizes both theoretical and applied research, fostering collaboration across academia and industry.
Key Highlights
- Submission Deadlines:
- Submission Opens: November 30, 2025
- Submission Deadline: June 30, 2026
- Notification of Acceptance: July 25, 2026
- Registration Deadline: August 10, 2026
- Topics of Interest:
- Image Processing (enhancement, segmentation, compression, etc.)
- Video Processing and Analysis (stabilization, motion estimation, deep learning applications)
- Feature Extraction and Representation (detection, descriptors)
- Object Detection and Recognition (methods like YOLO, R-CNN)
- Applications (medical imaging, surveillance, AR/VR, remote sensing)
- Publication: Accepted papers will be published in ICIVP 2026 CPS Conference Proceedings and submitted to IEEE Xplore, Ei Compendex, and Scopus.
- Review Process: Double-blind peer review by at least two technical committee members.
Call for Papers
Prospective authors are invited to submit original research in all aspects of image and video processing. Submissions can be:
- Full Paper (Presentation and Publication): Includes results, tables, figures, and references. Limited to 5 pages (additional pages incur a fee).
- Abstract (Presentation Only): Accepted abstracts will be presented but not published.
Contact: For inquiries, email the conference secretary, Ms. Josie SHEN, at icivpconference@163.com.
Visit the official website for more details: https://www.icivp.org/
Data sheet
2026 2nd International Conference on Image and Video Processing (ICIVP 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 18–20, 2026
Location: Kyoto Institute of Technology, 60th Anniversary Memorial Hall, Kyoto, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 2nd International Conference on Image and Video Processing (ICIVP 2026) |
| Event Date | November 18–20, 2026 |
| Event Status | Upcoming |
| Venue | Kyoto Institute of Technology, 60th Anniversary Memorial Hall |
| City | Kyoto |
| State / Region | Kyoto Prefecture |
| Country | Japan |
| Organizer | ICIVP 2026 Organizing Committee / Conference Secretariat (official contact listed on event website) |
| Official Event Website | icivp.org |
| Event Type | Academic and research conference with industry participation relevance |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | International / global academic and applied-technology reach, based on the “International Conference” positioning and open call for papers |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; no official attendee count, exhibitor count, or buyer count published in the provided source material |
| Main Purpose of Event | To convene researchers, practitioners, and industry professionals to present peer-reviewed work and applied advances in image and video processing, including medical imaging, surveillance, AR/VR, remote sensing, and deep learning applications |
About the Event
ICIVP 2026 is a specialized international conference focused on image and video processing. According to the official event website, it will take place on November 18–20, 2026 in Kyoto, Japan, at Kyoto Institute of Technology. The conference is structured around paper submission, peer review, technical presentation, and publication in conference proceedings intended for submission to IEEE Xplore and indexing services including Ei Compendex and Scopus.
From a business-intelligence perspective, the event is most relevant for identifying academic researchers, applied computer vision specialists, AI engineers, university labs, medical imaging groups, surveillance and security researchers, AR/VR developers, and technology practitioners exploring image and video analytics. It is not a traditional trade show or procurement expo, but it can still be useful for niche B2B outreach involving research tools, imaging software, compute infrastructure, data platforms, machine vision components, academic partnerships, and technical recruiting.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Universities, engineering schools, computer vision labs | Influence software, datasets, lab tools, GPUs, cameras, and research collaborations | High relevance for research software vendors, hardware suppliers, and academic publishing / indexing services |
| Graduate students and PhD candidates | Academic labs, research groups | Technical evaluators and future adopters; often recommend tools and platforms | Useful for pipeline development, product trials, community adoption, and technical advocacy |
| Applied AI / computer vision engineers | Technology companies, machine vision firms, software developers | Evaluate APIs, SDKs, annotation tools, inference platforms, and model deployment stacks | Strong fit for computer vision, AI infrastructure, and edge-processing vendors |
| R&D managers and innovation leads | Corporate R&D teams, advanced technology groups | Budget holders or technical sponsors for pilots, partnerships, and research sourcing | Relevant for partnership outreach, sponsored research, and co-development offers |
| Medical imaging and healthcare analytics researchers | Hospitals, medical schools, imaging labs, diagnostic AI teams | Influence imaging algorithms, PACS integrations, clinical AI validation, and dataset needs | High relevance for medical imaging software, AI validation, and imaging-device ecosystem partners |
| Security, surveillance, and public-safety technology specialists | Security technology firms, public safety labs, surveillance analytics teams | Assess detection, recognition, tracking, anomaly detection, and video analytics tools | Relevant for video intelligence, analytics, storage, and edge camera vendors |
| AR/VR and immersive technology developers | XR startups, simulation labs, interface design teams | Evaluate tracking, rendering, scene understanding, and imaging pipelines | Relevant for imaging sensors, visualization engines, and spatial computing suppliers |
| Remote sensing and geospatial image analysts | Research institutes, earth observation labs, geospatial analytics teams | Influence software, data processing pipelines, and classification platforms | Useful for satellite imagery analytics, GIS integration, and model deployment vendors |
| Technical committee members and peer reviewers | Academic and professional experts | High influence on scientific credibility and ecosystem visibility | Relevant for reputation-building, sponsorship, and expert-network development |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Kyoto | Local faculty, students, university labs, and regional technology researchers | Medium | Host city and venue location support local academic participation |
| Kyoto Prefecture / Kansai Region | Regional universities, R&D centers, and advanced manufacturing / electronics research teams | High | Kansai is a strong hub for engineering, electronics, and university research activity |
| Nearby business hubs | Osaka, Kobe, Nara, and broader western Japan | Medium to High | Likely source of corporate engineers, lab partners, and graduate researchers |
| Japan nationwide | National academic and industry attendees from image processing and AI fields | High | Conference topics and publication pathway support wider Japanese participation |
| Asia-Pacific | International researchers and authors from regional universities and tech institutions | Medium | International conference branding suggests regional submission and attendance potential |
| Global | International authors, reviewers, and specialists in computer vision and video processing | Medium | Global reach is likely, but attendee-country breakdown is not publicly confirmed in the provided source |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly positioned as an international conference and is built around open paper submission, peer review, and publication pathways relevant to a worldwide research audience. |
| National | Secondary reach | Strong likely attendance from Japanese universities, labs, and industry R&D organizations. |
| Regional | Secondary reach | Kyoto and the wider Kansai region are likely to contribute a meaningful share of onsite attendees. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
|
No official current-year attendee list, buyer directory, exhibitor list, sponsor roster, or speaker organization list was available in the provided official source content. Because of that, a verified buyer-company table cannot be expanded without risking unsupported claims. Verified current-year organization identified in the provided official materials: |
|||||
| Kyoto Institute of Technology | Host venue / academic institution | Confirmed host location for ICIVP 2026 and directly relevant to academic outreach, lab partnerships, and research engagement | kit.ac.jp | Professor, Associate Professor, Lab Director, Research Administrator, IT Director | Confirmed Current-Year Participant |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Faculty Researcher | Research / Academic Department | Senior | Core decision influencer for lab tools, collaborations, grant-aligned technology evaluation, and paper-driven adoption |
| 2 | Lab Director / Principal Investigator | Research | Director / Head | Owns research agenda, equipment selection, and collaboration priorities |
| 3 | Research Scientist | R&D | Manager / Individual Contributor | Technical evaluator for imaging models, datasets, pipelines, and compute infrastructure |
| 4 | Computer Vision Engineer | Engineering / AI | Manager / Individual Contributor | High-fit role for applied product, SDK, annotation, and deployment outreach |
| 5 | AI / ML Engineer | Engineering / Data Science | Manager / Individual Contributor | Relevant for model training, inference, optimization, and platform evaluation |
| 6 | R&D Manager | Research & Development | Manager / Director | Controls pilot budgets, technical evaluations, and collaboration planning |
| 7 | Director of AI / Head of Computer Vision | Engineering / Innovation | Director / VP | Senior decision-maker for enterprise adoption and strategic partnership outreach |
| 8 | Medical Imaging Scientist | Clinical Research / Imaging | Senior / Individual Contributor | Important for healthcare-related applications listed in the official topic areas |
| 9 | IT Director / Research Computing Manager | IT / Infrastructure | Director / Manager | Relevant for compute, storage, vision workloads, and technical environment purchasing |
| 10 | Business Development Director | Partnerships / Corporate Development | Director | Useful for research-industry partnerships, sponsored programs, and commercialization outreach |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for conference-attending labs and applied research institutions | Lab tools, AI platforms, data processing, compute, and collaboration solutions |
| 2 | Higher Education | Universities are a primary attendee group | Academic licensing, lab infrastructure, and research partnerships |
| 3 | Information Technology & Services | Relevant to software and service providers serving AI and computer vision teams | Implementation, data engineering, and technical integration services |
| 4 | Computer Software | Strong match for vision analytics, AI tooling, and research platforms | Image analysis software, SDKs, MLOps, and model tooling |
| 5 | Computer Hardware | Imaging and compute hardware support many conference use cases | GPU systems, vision sensors, workstations, and edge devices |
| 6 | Electrical/Electronic Manufacturing | Relevant to imaging devices, optics, and sensor systems | Machine vision hardware and embedded imaging components |
| 7 | Medical Devices | Medical image analysis is explicitly listed as an application area | Imaging diagnostics, algorithm validation, and clinical image workflow solutions |
| 8 | Hospital & Health Care | Connected to medical imaging research and applied clinical AI use cases | Clinical pilots, image analysis, and decision-support tooling |
| 9 | Defense & Space | Relevant to surveillance, remote sensing, and satellite image analysis topics | Video analytics, object detection, and geospatial imagery processing |
| 10 | Computer & Network Security | Surveillance and security use cases are explicitly mentioned | Video intelligence, anomaly detection, and secure imaging workflows |
| 11 | Telecommunications | Video processing, compression, and transmission can overlap telecom applications | Streaming optimization, video transport, and edge inference use cases |
| 12 | Aviation & Aerospace | Remote sensing, imaging, and video analytics can be relevant to aerospace R&D teams | Imaging payload analytics, object detection, and data interpretation workflows |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official website content provided | No attendee volume published in the supplied materials |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website content provided | This appears to be a conference rather than a conventional exhibition-led trade show |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website content provided | No procurement or hosted-buyer program disclosed |
| Speaker count | Not publicly confirmed in the provided source text | Not Confirmed | Official website content provided | Speakers page exists in site navigation, but no speaker data was included in the provided content |
| Sponsor count | Not publicly confirmed in the provided source text | Not Confirmed | Official website content provided | Sponsorship page exists in navigation, but no sponsor roster was supplied |
| Historical attendance | No verified figure available in the provided source text | Historical / prior-year evidence unavailable | Provided official website excerpt only | No prior-year attendance metric supplied |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Image processing | Enhancement, segmentation, restoration, compression, and coding | Demonstrate algorithms, software frameworks, and benchmark performance | Image analysis software, libraries, toolkits, and cloud processing environments |
| Video processing and analysis | Tracking, stabilization, motion estimation, classification | Target applied vision teams and video analytics researchers | Video analytics platforms, storage, streaming optimization, edge inference solutions |
| AI / deep learning | CNN, RNN, LSTM, GAN, training and inference workflows | Engage AI leads with model lifecycle, deployment, and evaluation messaging | MLOps tools, GPU infrastructure, model optimization, synthetic data, annotation platforms |
| Feature extraction and representation | Detection, descriptors, robust representation | Position tools around accuracy, reproducibility, and processing efficiency | Research software, benchmarking datasets, and workflow automation tools |
| Object detection and recognition | Detection models, recognition accuracy, real-world deployment | Approach vision engineers and R&D teams with performance-led messaging | Detection APIs, deployment stacks, inference accelerators, training data services |
| Medical imaging | Image interpretation, segmentation, diagnosis support, validation | Target hospital researchers, medical AI teams, and imaging labs | Medical image software, diagnostic AI, data governance, clinical research support |
| Surveillance and security | Face recognition, anomaly detection, monitoring analytics | Position offerings around accuracy, throughput, and secure deployment | Security analytics, camera systems, edge AI, secure storage, alerting platforms |
| AR/VR | Spatial understanding, tracking, visualization | Connect with XR developers and scene-analysis researchers | Sensor fusion, rendering tools, spatial analytics, simulation platforms |
| Remote sensing | Satellite image analysis and large-scale visual data interpretation | Target geospatial and aerospace-adjacent research teams | Geospatial AI, large-image processing, data pipelines, annotation and classification tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | High relevance for technical and research-led solutions; lower relevance for general commercial products not tied to imaging, AI, or research workflows. |
| Decision-maker availability | Medium | Faculty, lab directors, and R&D managers may attend, but many attendees will be researchers rather than procurement heads. |
| Data collection potential | Low to Medium | No public attendee directory was available in the provided source. List-building potential depends on external networking, paper author lists, and conference program visibility. |
| Apollo targeting potential | High | Strong searchability by industry, department, research function, AI titles, geography, and university / R&D organization type. |
| Geographic targeting potential | High | Clear concentration in Japan, especially Kyoto / Kansai, plus likely wider Asia-Pacific and international research participation. |
| Best outreach approach | High | Use technical value messaging: benchmark improvement, research collaboration, dataset support, compute efficiency, publication support, and applied validation. |
| Overall lead quality | Medium | Good for specialized B2B and academic-tech targeting; weaker for mass-market lead generation or broad attendee list sales. |
| Best use case | High | Niche account-based outreach to AI/computer vision researchers, university labs, and applied R&D organizations. |
| Limitations / risks | Medium | Limited public attendee transparency, uncertain commercial buying authority, and no verified current-year buyer-company list in the provided source. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Computer Hardware; Electrical/Electronic Manufacturing; Medical Devices; Hospital & Health Care; Defense & Space; Computer & Network Security; Telecommunications; Aviation & Aerospace | Capture the most relevant institutions and applied technology organizations aligned with conference themes |
| Departments | Engineering; Research; Information Technology; Data Science; Product Management; Innovation | Reach technical evaluators and adoption influencers |
| Seniority | Director; VP; Head; Manager; Senior; Owner (for specialist startups); Partner (for research consultancies) | Prioritize budget owners, lab leaders, and senior technical decision makers |
| Job titles | Professor, Associate Professor, Research Scientist, Lab Director, Principal Investigator, Computer Vision Engineer, AI Engineer, Machine Learning Engineer, R&D Manager, Director of AI, Head of Computer Vision, Imaging Scientist, Research Computing Manager, IT Director, Business Development Director | Mirror the most likely attendee and buyer-influence roles |
| Geography | Japan first; Kyoto Prefecture; Osaka; Kobe; wider Kansai; then Asia-Pacific and global institutions with computer vision / imaging research presence | Start local-to-national, then expand to likely international authors and participants |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Cover both startups and established universities / enterprises with imaging teams |
| Keywords | image processing, video processing, computer vision, machine vision, deep learning, medical imaging, remote sensing, object detection, video analytics, image segmentation, AR/VR, surveillance analytics, vision AI | Refine account and contact relevance to ICIVP subject areas |
| Technologies, if relevant | AI/ML stack, GPU compute, cloud ML, computer vision frameworks, edge inference platforms | Useful where Apollo enrichment supports technology-based segmentation |
| Revenue range, if relevant | Use selectively for commercial accounts; not recommended as a primary filter for universities or research institutions | Avoid excluding academically important accounts with non-commercial structures |
| Company type | Universities, research institutes, technology companies, medical imaging firms, AI startups, electronics manufacturers | Aligns with the event’s academic and applied technology profile |
| Funding / public company filters, if relevant | Optional for startups and public tech companies; not suitable as a universal filter | Best used for commercialization-focused outreach rather than academic targeting |
Suggested Apollo Search Logic: (“computer vision” OR “image processing” OR “video analytics” OR “medical imaging” OR “remote sensing” OR “object detection” OR “vision AI” OR “image segmentation” OR “AR/VR”) AND (Professor OR “Research Scientist” OR “Lab Director” OR “Principal Investigator” OR “Computer Vision Engineer” OR “AI Engineer” OR “R&D Manager” OR “Director of AI”) AND Geography: Japan OR Asia-Pacific.
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICIVP 2026 Official Website | Official event website | Event name, dates, host city, country, venue reference to Kyoto Institute of Technology, conference purpose, topic areas, submission dates, registration deadline, and publication statement | High |
| ICIVP 2026 Official Website – Important Dates section | Official schedule information | Submission opening date, submission deadline, acceptance notification date, registration deadline, and conference dates | High |
| ICIVP 2026 Official Website – Publication section | Official publication information | Peer-review process statement and intended publication / indexing pathway | High |
| Research note | Verification limitation | No official attendee list, exhibitor list, sponsor list, speaker roster, or attendance volume figures were present in the provided source content; therefore buyer-company confirmation remains limited | High as a limitation statement |
Suitability for B2B attendee list building: Moderate to limited. The event is valuable for niche AI/computer vision research targeting, but public attendee transparency appears limited in the provided official materials, reducing certainty for current-year list validation.
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 2nd International Conference on Image and Video Processing (ICIVP 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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