Alibaba Cloud Media and Entertainment China Translated from Chinese

Huace Film & TV Group (华策影视集团)

Document Processing

Huace Film & TV needed to accelerate script and media-production work without sacrificing output quality. Creative teams had to summarize and evaluate long texts, translate scripts and dialogue across languages, and identify or clip relevant video scenes, but doing that manually slowed early-stage creation and project preparation.

Reported impact

Business outcome

Huace accelerated early-stage creation and review without lowering output quality. Writers can generate ideas, adapt scenes and dialogue, and produce script-analysis outlines within minutes, while evaluation workflows shorten project-preparation cycles and the shared LLM foundation opens the same production pipeline to video clipping and editing scenarios across film, television, and short-drama teams.

  • Productivity Improvement
  • Speed to Market

Solution

Huace Film & TV deployed an intelligent screenplay-creation assistance system on Alibaba Cloud Bailian so creative teams could treat large models as part of day-to-day production rather than isolated experiments. Qwen-based model capability is used on long-text script workloads, where writers and reviewers need fast summarization, structured outlines, and script-evaluation output in consistent formats. The same system also supports multilingual translation of scripts and dialogue, while reducing the length limits that make generic model use impractical for full production documents. Huace is extending the same architecture into video workflows for scene recognition, automated tagging, clip extraction, and intelligent editing so long-form drama assets can be repurposed more efficiently. By centralizing writer assistance, evaluation, translation, and media-processing scenarios on Bailian, Huace created a reusable AI production stack for television, film, and short-drama teams.

Data flow

Scripts, dialogue, and other long-text materials are sent into the Bailian and Qwen layer for summarization, evaluation, and translation. The resulting outputs are consumed by Huace production teams and extended into downstream scene-recognition, clip-extraction, and intelligent-editing workflows for film and television assets.

Solution architecture

3 components · 3 layers
  1. Compute
    • Qwen models Handle summarization, script evaluation, translation, and other core creative-language tasks.
  2. Serving
    • intelligent screenplay creation assistance system Delivers writer assistance, script evaluation, and related media-processing workflows to production teams.
  3. Orchestration
    • Bailian Provides the large-model service platform that hosts Huace's script and media AI workloads.

Architecture clues

  • Huace is using one AI foundation across television, film, and short-drama production teams rather than isolated pilot projects.
  • Long-text support is a key requirement because screenplay and dialogue workflows exceed the practical limits of generic ad hoc prompting.
  • The same LLM platform spans script summarization, evaluation, translation, and downstream media-processing scenarios.

Evidence from the source

Huace is extending the same cooperation into intelligent extraction and editing of television clips so long-form drama assets can be reused more efficiently. (original: 同时,在电视剧切片智能提取、电视剧智能剪辑等更多影视智能场景展开合作,帮助华策在长剧的持续经营中降本提效。)
Huace said it needed fast, accurate long-text summarization, consistent formatted outputs, video-scene recognition and clipping support, and multilingual script translation. (original: 如何针对不同类型的长文本实现准确、高效的归纳总结,并按指定格式输出结果。如何结合文本内容识别影视作品视频中的画面内容,并使用辅助工具对视频进行自动标注、切分和重新剪辑。如何准确、高效并艺术性地进行影视剧本、台词内容的多语种翻译。)
Huace said the script assistant can spark story ideas within minutes, refine scenes and dialogue, and quickly produce analysis outlines, while script evaluation improves assessment efficiency and shortens preparation cycles. (original: “剧本助手”功能,实现分钟级激发原创故事的创意灵感... 并迅速整理出剧本分析大纲... “剧本评估”功能则通过高效筛选,显著提高了剧本的评估效率,并缩减了项目筹备周期。)
The company built an intelligent screenplay creation assistance system on Bailian and Qwen to provide writer assistance and script evaluation for film and television production teams. (original: 基于百炼平台提供的通义千问大模型落地“影视剧本智能创作辅助系统”,实现编剧助手、剧本评估等功能,辅助创作效率提升。该系统已在华策影视集团电视剧、电影、短剧等生产制作团队广泛应用。)
Transparency Evidence & methodology 75/100 reference value · 93% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence93%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency10/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Alibaba Cloud

    阿里云百炼大模型助力华策影视实现剧本创作智能化提速_传媒与音视频_阿里云客户案例

    First-party
    https://www.aliyun.com/customer-stories/media-and-entertainment-2024-huacemedia
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Region
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Company size

Date evidence

  • Published on source page Sep 22, 2024 · Alibaba Cloud · First-party
    Open date source
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.