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QoMEX 2027: International Conference on Quality of Multimedia Experience

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QoMEX
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투고 마감일:
2027-02-27 151일 남음
통보일:
2027-04-13
개최일:
2027-07-06
개최지:
Shanghai, China
개최 횟수:
ICORE: B   조회: 21481   팔로우: 2   참가: 0

회반 지수 (CP-I)

62.1 / 100
전체 5,687개 중 536위 · 상위 10%

컴퓨터 그래픽스·멀티미디어 분야 151개 중 25위

학술적 인정 (35%)
72
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
81
커뮤니티 관심도 (10%)
25
공개 자료 충실도 (15%)
55

사용한 입력: 수록 등급: ICORE B · 확인되는 개최 횟수: 19 · 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 6명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-28

논문 모집

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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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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