2026 The 10th International Conference on Video and Image Processing (ICVIP 2026)
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About this event
Welcome to ICVIP 2026
The 10th International Conference on Video and Image Processing (ICVIP 2026) will take place from December 11-13, 2026, in Shanghai, China, hosted by Shanghai Jiao Tong University, China. With a successful history spanning nine editions in cities like Singapore, Hong Kong, Shanghai, Xi'an, Guangzhou, Kyoto, and Kuala Lumpur, ICVIP has established itself as a leading platform for the exchange of cutting-edge research and innovations in video and image processing.
About ICVIP 2026
ICVIP 2026 invites experts, scholars, researchers, and students from around the globe to share the latest theoretical and applied research in video and image processing. The conference will feature peer-reviewed presentations, keynote addresses from renowned academics, special sessions, and academic visits, providing a comprehensive platform for academic and industry professionals to engage and collaborate.
Event Highlights
- Dates: December 11-13, 2026
- Venue: Shanghai, China
- Host: Shanghai Jiao Tong University, China
Conference Topics
ICVIP 2026 covers a broad range of topics related to video and image processing, including but not limited to:
- 3D Imaging and Modeling
- Computer Graphics and Rendering
- Virtual and Augmented Reality
- Image and Video Processing
- Machine Learning and AI in Vision
- Content-Based Retrieval and Indexing
Proceedings and Indexing
All accepted papers, after proper presentation and registration, will be published in the SPIE Conference Proceedings. The proceedings will be indexed by major databases including:
- Web of Science Conference Proceedings Citation Index-Science (CPCI-S)
- Scopus
- Ei Compendex
- Inspec
- Google Scholar
- Microsoft Academic Search
Call for Papers
Experts, scholars, researchers, and professionals are warmly invited to submit their research papers and participate in this prestigious conference. For more details, please visit the official ICVIP 2026 website.
Data sheet
2026 The 10th International Conference on Video and Image Processing (ICVIP 2026) – Event Attendee & Buyer Profile Analysis
Event date: December 11–13, 2026
Location: Shanghai, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 The 10th International Conference on Video and Image Processing (ICVIP 2026) |
| Event Date | December 11–13, 2026 |
| Event Status | Upcoming |
| Venue | Shanghai, China. Exact venue facility not publicly confirmed in the official website content reviewed. |
| City | Shanghai |
| State / Region | Shanghai Municipality |
| Country | China |
| Organizer | Shanghai Jiao Tong University, China (official website states the conference will be sponsored by Shanghai Jiao Tong University) |
| Official Event Website | icvip.org |
| Event Type | International academic and industry conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Global academic and technical audience, with strong Asia-Pacific concentration |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numeric attendance; high for date, city, country, host, subject matter, and publication pathway based on official event website content |
| Main Purpose of Event | To convene researchers, academics, industry professionals, and institutional participants to present peer-reviewed work, exchange technical knowledge, build collaborations, and discuss advances in video and image processing, computer vision, rendering, VR/AR, and AI in vision. |
About the Event
ICVIP 2026 is the 10th edition of an established international conference focused on video and image processing. According to the official event website, the conference will be held in Shanghai, China, on December 11–13, 2026, and will be sponsored by Shanghai Jiao Tong University. The program format includes peer-reviewed presentations, keynote talks, special sessions, and academic visits, with topic coverage spanning 3D imaging, graphics and rendering, VR/AR, image and video processing, machine learning for vision, and content-based retrieval.
From a commercial intelligence perspective, ICVIP is primarily a research-driven conference rather than a large-scale trade show. Its strongest lead value lies in identifying technical decision-makers, lab leaders, university researchers, R&D collaborators, advanced computing users, vision/AI specialists, and institutional technology evaluators. It is relevant for suppliers of imaging software, AI tools, GPU infrastructure, data platforms, computer vision components, research instrumentation, and academic-industry partnership services, but it is less suitable for high-volume retail or general attendee-list building because no public current-year attendee directory or exhibitor roster was verified.
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 research software, lab tools, compute platforms, partnerships, and publication ecosystems | High relevance for AI, imaging, simulation, visualization, cloud, and research equipment vendors |
| PhD students and graduate researchers | Academic departments, research institutes | End users and recommenders for software stacks, datasets, developer tools, and GPU resources | Useful for user adoption, lab standardization, and future technical champion development |
| R&D teams from technology companies | Computer vision firms, AI startups, software companies, electronics manufacturers | Evaluate technical methods, research partnerships, licensing, and talent pipelines | High value for B2B technical selling and co-development outreach |
| Government and public research institutions | National laboratories, government-backed research centers, innovation agencies | Influence public research procurement, grants, pilot projects, and institutional standards | Relevant for research systems, imaging tools, infrastructure, and specialist services |
| Computer graphics and VR/AR specialists | Immersive technology labs, simulation teams, visualization groups | Specify rendering engines, XR platforms, motion/scene tools, and hardware acceleration needs | Strong fit for visualization, rendering, and immersive computing suppliers |
| Image and video analytics professionals | AI teams, analytics groups, media processing firms, applied computer vision units | Evaluate algorithms, data pipelines, training frameworks, compression, indexing, and retrieval tools | High relevance for software, model platforms, compute vendors, and data management providers |
| Conference committee members and keynote speakers | Senior academics and recognized subject-matter experts | Shape reputation, influence community adoption, and guide collaborations | Important for thought leadership, sponsorship alignment, and advisory outreach |
| Academic publishers and scholarly ecosystem participants | Proceedings publishers, indexing ecosystems, scholarly communication stakeholders | Influence publication distribution and academic visibility | Useful for partnerships around publication, discoverability, and research dissemination |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Shanghai | Local universities, research labs, AI and software companies, innovation centers | High | Host city and home base of sponsoring university; strongest likelihood for local academic and technical participation |
| Yangtze River Delta | Attendees from Jiangsu, Zhejiang, Hangzhou, Suzhou, Nanjing, and nearby research hubs | High | Dense regional concentration of universities, semiconductor, software, automation, and digital innovation activity |
| China national market | Researchers and engineers from major Chinese universities and R&D organizations | High | National draw is likely because the official site positions ICVIP as an international technical conference with paper submissions and proceedings publication |
| Asia-Pacific | Researchers and industry specialists from East Asia and Southeast Asia | Medium to High | Past editions in Singapore, Hong Kong, Kyoto, Kuala Lumpur, Guangzhou, Xi'an and Shanghai indicate sustained Asia-Pacific event circulation |
| International research community | Global submitters, authors, speakers, and scholars | Medium | Official site welcomes experts, scholars, researchers, and students from around the globe; international participation is likely but specific countries are not publicly listed in reviewed content |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official site explicitly invites experts, scholars, researchers, and students from around the globe, and the conference has a multi-country edition history. |
| Asia-Pacific | Secondary practical concentration | Edition history and host location suggest strongest in-person concentration from China and broader Asia-Pacific research markets. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Shanghai Jiao Tong University | Host / university research buyer | Officially named by the event website as the sponsor; relevant as a direct institutional stakeholder for research infrastructure, software, labs, and partnerships | sjtu.edu.cn | Professor, Lab Director, Dean, Research Center Director, IT Director, Procurement Office Manager | Confirmed Current-Year Participant |
| SPIE Digital Library / SPIE | Proceedings publisher ecosystem stakeholder | Official site states accepted papers will be published in SPIE Conference Proceedings and included in the SPIE Digital Library | spie.org | Conference Publishing Manager, Partnerships Manager, Program Manager | Confirmed Sponsor / Exhibitor |
| ICVIP official committee and speaker organizations | Academic and institutional participants | The official website contains committee and keynote speaker sections, but the reviewed content did not include organization-level listings to verify specific additional buyers | icvip.org | Committee Chair, Keynote Speaker, Research Director, Professor | Confirmed Current-Year Participant |
Current-year attendee, exhibitor, and speaker organization lists were not fully available in the reviewed official website text. Because unsupported prospecting targets are not included in this table, the number of verified organizations is limited. This event is better suited to targeted institutional outreach than to broad attendee-list extraction.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Associate Professor | Research / Academic | Senior | Leads labs, paper submissions, technical adoption, and partnership decisions |
| 2 | Lab Director / Research Center Director | Research & Development | Director | Controls lab priorities, infrastructure decisions, and vendor evaluations |
| 3 | Principal Scientist / Research Scientist | R&D | Mid-Senior | Strong technical evaluator for algorithms, toolchains, and compute environments |
| 4 | Director of AI / Computer Vision Lead | Engineering / AI | Director | Relevant for applied vision, model deployment, and technical partnerships |
| 5 | CTO / Chief Scientist | Executive / Technology | C-Level | Strategic buyers for high-value software, platforms, and R&D alliances |
| 6 | IT Director / HPC Infrastructure Manager | IT / Infrastructure | Director / Manager | Owns compute, storage, cloud, and research systems procurement |
| 7 | Procurement Manager / Purchasing Officer | Procurement | Manager | Important for institutional buying cycles after technical approval |
| 8 | Business Development Director | Partnerships / Strategy | Director | Relevant for joint research, commercialization, and collaboration frameworks |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for conference labs, institutes, and applied research teams | Research software, datasets, advanced compute, algorithm tooling |
| 2 | Higher Education | Universities are central participant groups | Lab procurement, academic partnerships, campus IT systems |
| 3 | Information Technology & Services | Applied IT and solution providers engaged in imaging and vision use cases | Platform demos, integration services, enterprise vision deployments |
| 4 | Computer Software | Strong fit for imaging, analytics, indexing, and processing applications | AI/vision software sales and technical partnerships |
| 5 | Computer Hardware | Relevant for compute-intensive imaging and rendering workloads | GPU servers, workstations, edge devices, capture systems |
| 6 | Semiconductors | Vision and rendering ecosystems depend on chips, acceleration, and sensing hardware | Sensors, compute acceleration, embedded vision |
| 7 | Electrical/Electronic Manufacturing | Relevant to imaging devices, capture systems, and integration hardware | Device platforms and imaging components |
| 8 | Industrial Automation | Computer vision is widely applied in inspection and automation | Machine vision, inspection analytics, robotics support |
| 9 | Government Administration | Official site references government agencies among participant types | Public research, grants, smart city and institutional imaging initiatives |
| 10 | Defense & Space | Image processing and vision have advanced sensing and analysis applications | High-end imaging, detection, and modeling solutions |
| 11 | Medical Devices | Image processing is highly relevant to diagnostic and visualization technologies | Medical imaging analytics and visualization |
| 12 | Aviation & Aerospace | Useful for modeling, sensing, and advanced imaging applications | Remote imaging, simulation, and analysis platforms |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official event website review | No verified attendee count was found in reviewed current-year official content |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official event website review | Conference appears primarily paper- and presentation-led rather than exhibition-led |
| Buyer count | Not publicly confirmed | Unconfirmed | Official event website review | No current-year buyer or attendee directory was verified |
| Speaker count | Not publicly confirmed | Unconfirmed | Official event website review | Keynote speaker section exists, but reviewed text did not list a count |
| Sponsor / host organizations | 1 publicly named | Confirmed | Official event website | Shanghai Jiao Tong University is explicitly named as sponsor |
| Historical continuity | 9 prior editions referenced | Confirmed historical evidence | Official event website | Supports event maturity, but does not confirm current-year attendance volume |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Image and video processing | Algorithms, compression, feature extraction, multi-view processing | Technical demos, academic validation, benchmark collaboration | Vision SDKs, annotation tools, analytics platforms, compute resources |
| Machine learning and AI in vision | Model development, training pipelines, classification, clustering, retrieval | Co-development, proof-of-concept, applied research partnership | AI platforms, MLOps, GPU infrastructure, data pipelines |
| 3D imaging and modeling | Scene capture, surface modeling, mesh processing, model generation | Lab evaluation, academic papers, industrial imaging pilots | 3D capture systems, modeling software, visualization engines |
| Computer graphics and rendering | Real-time rendering, illumination, animation, natural scene modeling | Performance demos and joint research publication | Rendering platforms, accelerated hardware, content tools |
| Virtual and augmented reality | Immersive environments, simulation, education, behavior assessment | Cross-sector demos, education partnerships, XR integration outreach | XR software, sensors, rendering tools, training platforms |
| Content-based retrieval and indexing | Search, indexing, retrieval, query models for image/video repositories | Repository integration, search optimization, large dataset management | Search infrastructure, metadata platforms, DAM and indexing systems |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for research, AI, computer vision, imaging, software, and infrastructure suppliers |
| Decision-maker availability | Medium | Senior academics and lab leaders are likely present, but institutional procurement may happen after technical evaluation cycles |
| Data collection potential | Low to Medium | No verified current-year attendee list or exhibitor directory was found in reviewed official content |
| Apollo targeting potential | High | Clear ICP exists across higher education, research, AI software, imaging hardware, and institutional technology buyers |
| Geographic targeting potential | High | Shanghai, East China, China-wide, and Asia-Pacific segmentation are practical for outreach |
| Best outreach approach | High | Use thought-leadership outreach, research collaboration language, technical demos, and publication-aligned messaging rather than mass sales positioning |
| Overall lead quality | Medium to High | Excellent niche quality for deep-tech and research-oriented solutions; weaker for generic attendee-list monetization |
| Best use case | High | Targeted outbound to research leaders, AI labs, university departments, and applied vision teams |
| Limitations / risks | Medium | Public attendee transparency is limited; event skews academic; purchasing cycles may be slower and budget ownership distributed |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Computer Hardware; Semiconductors; Electrical/Electronic Manufacturing; Industrial Automation; Government Administration; Medical Devices | Find institutional and applied-technology buyers aligned with event subject matter |
| Departments | Research, Engineering, Information Technology, Academic Affairs, Procurement, Innovation, Partnerships | Focus on technical evaluators plus institutional buying stakeholders |
| Seniority | C-Level, VP, Director, Head, Manager, Professor-equivalent where discoverable | Capture both strategic and operational decision-makers |
| Job titles | Professor, Associate Professor, Lab Director, Research Director, Principal Scientist, Research Scientist, AI Director, Computer Vision Lead, CTO, Chief Scientist, IT Director, HPC Manager, Procurement Manager, Partnerships Director | Build a precise list of technical and institutional buyers |
| Geography | Shanghai; China; East China; Asia-Pacific; selected global research hubs | Mirror likely conference participation footprint |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Useful for universities, labs, institutes, and larger technology firms |
| Keywords | computer vision, image processing, video analytics, machine learning, deep learning, VR, AR, rendering, 3D imaging, visual computing, image retrieval, multimedia analysis | Increase topical relevance of contact and account selection |
| Technologies, if relevant | GPU computing, HPC, AI frameworks, cloud compute, visualization software | Prioritize accounts with infrastructure needs matching imaging workloads |
| Revenue range, if relevant | Use open range or mid-to-large institutions for enterprise outreach | Avoid over-restricting academic and research entities |
| Company type | Universities, research institutes, government-backed labs, AI software firms, imaging companies, advanced manufacturing R&D groups | Supports better-fit list building than broad company targeting |
Suggested Apollo Search Logic: ("computer vision" OR "image processing" OR "video analytics" OR "3D imaging" OR rendering OR "virtual reality" OR "augmented reality" OR "image retrieval" OR "multimedia analysis") AND (Research OR Engineering OR "Information Technology" OR Procurement) AND (Professor OR "Research Director" OR "Lab Director" OR "Principal Scientist" OR CTO OR "AI Director" OR "Computer Vision Lead").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICVIP 2026 Official Website | Official event website | Event name, dates, city, country, sponsor, topic coverage, proceedings route, historical edition references, and intended participant groups | High |
| Shanghai Jiao Tong University | Official organizer / institution website | Institution identity of the officially named sponsoring university | High |
| SPIE Digital Library | Official publication platform | Used to support the official event statement that accepted papers are planned for SPIE Conference Proceedings and inclusion in SPIE Digital Library | High for publication platform identity; event-specific publication statement remains based on official ICVIP website |
Suitability note for B2B attendee list building: ICVIP 2026 is suitable for targeted niche lead generation in research, AI, and computer vision ecosystems, but not ideal for broad attendee list sales because public current-year participant transparency is limited in the reviewed source set.
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