Conference Information

MHV 2027: ACM Mile High Video

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Submission Date:
2026-10-09
Notification Date:
2026-11-20
Conference Date:
2027-02-23
Location:
Denver, Colorado, USA
Years:
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MHV
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Conference Partner Index (CP-I)

40.7 / 100
Ranked #4,952 of 5,695 conferences · Top 87%
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%)
19
Community attention (10%)
12
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 4

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 2026-10-11

Call For Papers

MHV 2027 (ACM Mile High Video) is an academic conference held in Denver, Colorado, USA on 2027-02-23. The paper submission deadline is 2026-10-09. Acceptance notifications are sent on 2026-11-20.

ACM MHV'27 talks and papers are solicited in the following areas: Content production, encoding, and packaging • Encoding for broadcast, mobile, and OTT, including edge, network, and cloud-based coding; • Deployment of AV2, VVC, and next-generation video/image codecs: encoder maturity, decode economics, carriage, and ladder impact; • New and emerging audio, image, and video codecs (including point cloud coding, Gaussian splat coding, light field coding, learned coding, etc.); • Display-aware encoding and quality optimization; • Storage applications for video processing and streaming; • Encoding ladder construction: per-title, context-aware, and device-aware; • Quality metrics, assessment models, and user experience studies; • Accessibility: captioning, timed text, and access services; • HDR and color pipelines. Applications of AI • GenAI-based video content generation, incl. real-time generative and diffusion-based transformation; • End-to-end and hybrid AI-based image and video compression; • Learned tools in conventional pipelines: neural post-filters, pre-processing, and enhancement layers; • AI-assisted indexing, search, and metadata extraction; • Agentic AI for operations, quality assurance, and observability; • Media pipelines for AI workloads: model delivery, decoder-side compute, cost, and energy. Video workflows • Virtualized headends, cloud-based and open media facility infrastructures; • Redundancy and resilience in content origination; • Ingest protocols, incl. multitrack and multi-format contribution; • Workflows for UGC and creator-scale libraries; • Computational imaging, camera processing, capture systems, and camera-to-cloud workflows; • Ad insertion: server-guided ad insertion, interstitials, and non-linear and overlay ad formats. Content delivery and security • Transport protocols, incl. HTTP/2 and HTTP/3 media delivery, and new delivery paradigms; • Media over QUIC: relay architecture, packaging, interoperability, and deployment experience; • Content steering, multi-CDN, and delivery at extreme concurrency; • Player-server signaling and data interfaces (CMCD, CMSD), and analytics; • Protection for OTT distribution and anti-piracy tools; • Cybersecurity, privacy, and infrastructure resilience. Content authenticity and provenance • C2PA in adaptive streaming: workflows and implementations • Security and attacks on C2PA • Content watermarking. Streaming technologies • Adaptive streaming and transcoding; • Low latency; • Player, playback, and QoE developments; • Multiview experiences: synchronized playback of a primary stream with picture-in-picture companion streams, composition, and decode budgets; • Device and platform fragmentation: capability negotiation and the CE long tail; • Protocol and Web API improvements, and client-side media pipelines. Industry trends • Scalable and multi-view video coding deployments; • Video and audio coding for machines; • Cloud gaming and game streaming; • Cost and energy: measurement, energy awareness, and the quality/cost frontier; • Edge computing and hardware for encoding, storage, and distribution. Live production, audio, and media infrastructure • Live and cloud production, including sports, replay, and distributed collaboration; • IP-based media facilities, synchronization, timing, and interoperability; • Camera-to-cloud contribution and virtual-production workflows; • Immersive, spatial, object-based, and personalized audio; • Media storage, archiving, asset management, and content lifecycle optimization. Standards, interoperability, and open source • New and developing standards in the media and delivery space; • Interoperability guidelines, conformance testing, and implementation experience; • Open-source media infrastructure: maintenance, governance, and migration.
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