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QoMEX 2027: International Conference on Quality of Multimedia Experience

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QoMEX
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投稿締切日:
2027-02-27 残り 151 日
通知日:
2027-04-13
開催日:
2027-07-06
開催地:
Shanghai, China
開催回数:
ICORE: B   閲覧: 21483   フォロー: 2   参加: 0

会伴インデックス (CP-I)

62.1 / 100
全 5,687 件中 第 536 位 · 上位 10%

コンピュータグラフィックス・マルチメディア 分野 151 件中 第 25 位

学術的評価 (35%)
72
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%)
81
コミュニティの注目度 (10%)
25
公開情報の充実度 (15%)
55

使用した入力: 収録ランク：ICORE B · 確認できる開催回数：19 · 会伴でフォローしている研究者：2 人 · 過去 24 か月にこのページを開いた研究者：6 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)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — 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 2026-09-28

論文募集

QoMEX 2027 (International Conference on Quality of Multimedia Experience) is a ICORE B conference held in Shanghai, China on 2027-07-06. The paper submission deadline is 2027-02-27. Acceptance notifications are sent on 2027-04-13.

Topics of interest The QoMEX 2027 Organizing Committee solicits original contributions including, but not limited to, the following topics. Quality assessment and QoE modeling Multimedia Quality of Experience and User Experience Perceptual quality assessment for image, video, audio, and speech Quality assessment of 3D, volumetric, immersive, and XR media Multimodal and multisensory quality assessment Subjective assessment methodologies and user studies Objective, no-reference, and perceptual quality models QoE prediction, personalization, and adaptation Data-driven, learning-based, and hybrid QoE models Perceptual, semantic, and aesthetic quality Experience-aware multimedia systems Generative AI and intelligent media Quality of AI-generated content and synthetic media Perceptual and semantic quality of generative models Evaluation of generated image, video, audio, 3D, and multimodal content Foundation, language, and vision-language models for multimedia quality and QoE Human evaluation of generative and interactive AI systems Authenticity, trustworthiness, reliability, and provenance Hallucination, consistency, and perceptual artifacts Human-AI interaction and co-adaptation AI agents and intelligent systems for QoE-aware interaction Machine-oriented and semantic multimedia quality Immersive, 3D, and multimodal experiences Virtual, augmented, mixed, and extended reality Spatial computing and immersive communication 3D and 4D media, volumetric video, digital humans, neural representations, and novel scene representations Telepresence and remote immersive experiences Multimodal and multisensory experiences Visual, auditory, haptic, and cross-modal perception Presence, immersion, embodiment, and cybersickness Quality and experience of interactive and embodied media Networked media and experience-aware systems QoE-aware multimedia streaming and communication Adaptive media delivery and resource allocation QoE management in communication networks and systems Cloud, edge, and distributed media systems QoE in 5G-Advanced, 6G, and next-generation networks Intelligent networking and AI-assisted multimedia delivery Media compression, coding, and transmission from a QoE perspective Low-latency and interactive multimedia systems Energy-efficient and sustainable multimedia delivery Cross-layer and end-to-end QoE optimization Human factors, UX, and inclusive experiences Human factors in multimedia experiences Cognitive, emotional, behavioral, and attentional factors Human-computer interaction and novel interaction paradigms Quality of Life, well-being, and societal aspects of QoE Accessibility, diversity, and inclusive experience design Personalized and context-aware user experiences Ethics, privacy, consent, fairness, and explainability QoE for gaming, education, healthcare, culture, entertainment, and other applications User trust and acceptance of AI-mediated experiences Open science, datasets, benchmarks, and evaluation Datasets and benchmarks for multimedia quality and QoE Evaluation methodologies and protocols Reproducibility, replicability, and transparency Open-source tools and research infrastructure Crowdsourcing and large-scale subjective assessment Multimodal data collection and annotation Human-AI collaborative evaluation protocols Generalization, robustness, and cross-dataset evaluation Benchmarking emerging multimedia and intelligent systems Innovative approaches and emerging directions QoMEX 2027 also welcomes contributions that challenge established assumptions or introduce new paradigms, interdisciplinary perspectives, emerging applications, and unconventional methodologies for understanding multimedia quality and human experience.
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CCF正式名称インパクトファクター出版社ISSN
Concurrency Computation Practice and Experience1.5Wiley1532-0626
CConcurrency and Computation: Practice and Experience2.2Wiley1532-0634
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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