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MHV 2027: ACM Mile High Video

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投稿締切日:
2026-10-09
通知日:
2026-11-20
開催日:
2027-02-23
開催地:
Denver, Colorado, USA
開催回数:
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会伴インデックス (CP-I)

40.7 / 100
全 5,695 件中 第 4,952 位 · 上位 87%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
19
コミュニティの注目度 (10%)
12
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：1 · 過去 24 か月にこのページを開いた研究者：4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-11

論文募集

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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AA*94.5CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
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BA*94.2IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.7STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.8IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.7PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Signal, Image and Video Processing2.1Springer1863-1703
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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