キーフレーム抽出と適応的重量割り当てに基づく非物質文化遺産の保護と分析
1School of Fashion Art, Shaanxi University of International Trade & Commerce, Xi'an, China.
PloS one
|August 29, 2025
まとめ
この研究は,高度なビデオ分析を用いた非物質文化遺産のデジタル保存方法を導入しています. 開発されたモデルは,キーフレームを効果的に抽出し,ターゲットを検出し,文化遺産管理のための正確で堅固なコンテンツ認識を保証します.
科学分野:
- デジタル・ヒューマニティ
- コンピュータ・ビジョン
- 文化遺産の研究
背景:
- 非物質文化遺産 (ICH) のビデオデータの効果的なデジタル保存と管理は極めて重要です.
- ICHのビデオコンテンツの複雑さと容量に 苦戦しています
研究 の 目的:
- ICHビデオデータのデジタル保存と分析のための自動化されたシステムを開発し,評価する.
- 先進的なビデオ処理技術によってICHの管理とアクセシビリティを向上させる.
主な方法:
- ターゲット認識アルゴリズムとキーフレームの抽出をビデオ分析のために利用しました.
- ショット境界検出,フィーチャーピラミッドネットワーク,注意力メカニズムを組み込んだモデルを構築しました.
- 精度,リコール,F1スコア,冗長性,検出エラーメトリックを使用してモデルのパフォーマンスを評価します.
主要な成果:
- キーフレーム抽出モデルは高精度 (0.996),リコール (0.984),F1スコア (0.936) を達成した.
- キーフレームの冗長性 (0.02) とミス/偽検出率 (<0.25) が低いことが実証されています.
- 騒音下での性能低下を最小限に抑え,予測ボックスの精度 (+41.57%) を大幅に改善した.
結論:
- 開発されたモデルは,正確なキーフレーム抽出とターゲット検出を通じて,ICHビデオを効果的に保護し,分析します.
- この技術は,無形文化遺産の継承と普及を促進します.
- このシステムは,デジタルICH管理のための堅牢で正確なソリューションを提供します.
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