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Video Shots. Abstraction. Segmentation. Key Frames. Hierarchical Views of Videos. Still Image Features. Temporal/Motion Features. Extraction. Feature.
With the clustering processes, when a list of video programs or clips is provided, a browsing system can use either key-frame and/or shot features to cluster ...
A framework for content-based video retrieval using the Shot Cluster Tree, while the latter organizes the content of shots in the tree structure, ...
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Nov 8, 2023 · Data clustering is a technique for analyzing unsupervised machine learning problems to find hidden patterns and traits within the data.
May 5, 2022 · This study proposed a dynamic approach for clustering the TV-related online multimedia content and presenting them in a manageable format on smart TV
Oct 6, 2024 · A survey that explores the various approaches and methods created for video summarizing, emphasizing both abstractive and extractive strategies.
Here, we introduce a two-level hierarchical clustering algorithm by making use of both color and motion features. The proposed clustering algorithm is ...
This paper presents a novel video access and retrieval system for edited videos. The key element of the proposal is that videos are automatically decomposed ...
Current key frame extraction techniques mainly include:shot-based method, content analysis-based method, motion analysis-based method and clustering-based ...
First we consider the shot clustering techniques based on low-level features, using visual, audio and motion information, even combined in a multi-modal fashion ...