发表机构
Guangzhou Institute of Technology, Xidian University（西安电子科技大学广州研究院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文针对不同媒体模态更快播放下感知质量研究不足的问题，通过主观实验提取内容特征构建预测模型，提出CAPQ-FAST模型，可有效预测感知质量并助力优化音视频服务。
AI 中文摘要
更快播放已成为现代在线音视频服务的常见功能，使用户能在更短时间内消费内容，同时仍保持连贯的观看体验。然而，视频、音频（包括语音和音乐）及音视频等不同媒体模态在更快播放下对可理解性和信息完整性的要求各不相同，这些差异导致感知质量因内容类型出现明显变化。尽管如此，不同播放速度下用户的感知质量仍未得到充分研究。为解决这一空白，本文开展一系列主观实验，分析视频、音频及音视频内容的播放速度与感知质量的关系，提取内容特定的内在特征以捕捉时间动态，包括视频的时间信息（TI）、语音的每分钟单词数（WPM）、音乐的每分钟节拍数（BPM），随后分别为视频、语音和音乐开发更快播放下的感知质量预测模型，通过整合这些模型，提出用于更快音视频播放的统一内容自适应感知质量评估模型（CAPQ-FAST）。实验结果表明，所提模型可有效预测不同播放速度下的感知质量，该模型能帮助服务提供商更好理解用户在更快播放下的观看意图和感知体验，从而实现更具适应性的个性化推荐和播放控制，以增强用户体验的适应性。
英文摘要
Faster playback has become a common feature in modern online audiovisual services, allowing users to consume content in less time while still maintaining a coherent viewing experience. However, different modalities of media content, such as video, audio (including speech and music), and audiovisual, exhibit varying requirements for understandability and information integrity under faster playback. These differences lead to noticeable variations in perceived quality depending on the content type. Nevertheless, users' perceived quality at different playback speeds remains insufficiently investigated. To address this gap, this paper conducts a series of subjective experiments to analyze the relationship between playback speed and perceived quality for video, audio, and audiovisual content. Content-specific intrinsic features are extracted to capture temporal dynamics, including temporal information (TI) for video, words per minute (WPM) for speech, and beats per minute (BPM) for music. Predictive models of perceived quality under faster playback are then developed separately for video, speech, and music. By integrating these models, a unified content-adaptive perceived quality assessment model (CAPQ-FAST) is proposed for faster audiovisual playback. Experimental results demonstrate that the proposed model effectively predicts perceived quality under different playback speeds. This model can help service providers better understand users' viewing intentions and perceptual experiences under faster playback, thereby enabling more adaptive personalized recommendations and playback control to enhance user experience adaptability.
CommentsIEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2026.3716481
DOI：10.1109/TCSVT.2026.3716481
