技能 人工智能 ACM多媒体会议投稿定位指南

ACM多媒体会议投稿定位指南

v20260724
acm-international-conference-on-multimedia
本技能旨在指导作者评估其计算机科学手稿是否适合投稿至ACM多媒体国际会议(ACM MM)。它提供了一套完整的策略,帮助作者在多模态、检索和媒体应用领域,精准地“定位”和“包装”论文的贡献,以满足顶级学术会议的审稿要求和发表范式。
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ACM International Conference on Multimedia (ACM MM)

Conference positioning

ACM International Conference on Multimedia (ACM MM) is a top computer-science conference venue for multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications. It rewards a multimodal or media paper where the contribution spans modalities and evaluation protocols. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names ACM MM / ACM International Conference on Multimedia as the target venue.
  • A manuscript in multimedia retrieval needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to ACM MM's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat ACM MM as a multimedia venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: multimedia retrieval, generation, multimodal learning, audio-video-language systems, and media applications.
  • Distinctive fingerprint for reviewer calibration: multimedia, retrieval, generation, multimodal, learning, audio-video-language, media, applications, venue-specific, contribution, sigmm.
  • Official anchor domain: www.sigmm.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in multimedia and the author can say why ACM MM reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: international-conference- on-3d-vision (3DV), ieee-international-symposium-on-biomedical-imaging (ISBI), acm- international-conference-on-multimedia-retrieval (ICMR), acm-siggraph (SIGGRAPH). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from www.sigmm.org.

What distinguishes this venue from its closest siblings

  • What ACM MM is. ACM Multimedia (SIGMM) — multimedia broadly: vision and audio, language, multimodal systems, retrieval, and HCI, not a vision-only venue.
  • vs BMVC. BMVC is a focused machine-vision conference; route multimodal/systems/media work here and pure 2D/3D vision there.
  • Routing. Foreground the multimodal or systems contribution; a single-modality vision result usually fits a vision venue better.

Method & evidence bar

  • Use current vision baselines, strong ablations, dataset-specific protocols, and qualitative examples that reveal failure modes.
  • Keep the anonymous submission self-contained; external material should follow the current-cycle policy exactly.
  • For generated or foundation-model outputs, show robustness, data provenance, and evaluation beyond cherry-picked visuals.
  • For ACM MM, the evidence must support the venue-specific signature: a multimodal or media paper where the contribution spans modalities and evaluation protocols.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Lead with the visual problem and the technical insight; then prove it across datasets, metrics, and ablations.
  • Make figures do work: pipeline, qualitative wins/failures, and compact quantitative comparisons.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://www.sigmm.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at ACM MM, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle multimedia papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • A thin architecture tweak with marginal gains and no analysis.
  • Using non-comparable baselines, private data splits, or hidden external links that violate review policy.
  • Ethics, consent, or biometric/medical claims handled as boilerplate rather than as real constraints.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving ACM MM reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses ACM MM's bar, compare against computer-vision-and-pattern-recognition / international-conference-on-computer-vision / european-conference-on-computer-vision / winter-conference-on-applications-of-computer-vision. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] ACM International Conference on Multimedia (ACM MM)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>
信息
Category 人工智能
Name acm-international-conference-on-multimedia
版本 v20260724
大小 8.74KB
更新时间 2026-07-28
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