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- Color histogram (1)
- Color-texture segmentation (1)
- Cut detection (1)
- DCT (1)
- Dissolve detection (1)
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- Hierarchical clustering (1)
- Image indexing and retrieval (1)
- Motion and color retrieval (1)
- Semantic Analysis (1)
- Shape modeling (1)
- Spatio-temporal pattern (1)
- Spatio-temporal slice (1)
- Team classification (1)
- Texture recognition (1)
- Video Abstraction (1)
- Video Parsing (1)
- Video Retrieval (1)
- Video partitioning (1)
- Wipe detection (1)
Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
On Clustering And Retrieval Of Video Shots, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
On Clustering And Retrieval Of Video Shots, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
Research Collection School Of Computing and Information Systems
Clustering of video data is an important issue in video abstraction, browsing and retrieval. In this paper, we propose a two-level hierarchical clustering approach by aggregating shots with similar motion and color features. Motion features are computed directly from 20 tensor histograms, while color features are represented by 30 color histograms. Cluster validity analysis is further applied to automatically determine the number of clusters at each level. Video retrieval can then be done directly based on the result of clustering. The proposed approach is found to be useful particularly for sports games, where motion and color are important visual cues …
Integrating Color And Spatial Features For Content-Based Video Retrieval, Tong Lin, Chong-Wah Ngo, Hong-Jiang Zhang, Qing-Yun Shi
Integrating Color And Spatial Features For Content-Based Video Retrieval, Tong Lin, Chong-Wah Ngo, Hong-Jiang Zhang, Qing-Yun Shi
Research Collection School Of Computing and Information Systems
In this paper, we present a novel and efficient scheme for extracting, indexing and retrieving color images. Our motivation was to reduce the space overhead of partition-based approaches taking advantage of the fact that only a relatively low number of distinct values of a particular visual feature is present in most images. To extract color feature and build indices into our image database we take into consideration factors such as human color perception and perceptual range, and the image is partitioned into a set of regions by using a simple classifying scheme. The compact color feature vector and the spatial …
Exploiting Image Indexing Techniques In Dct Domain, Chong-Wah Ngo, Ting-Chuen Pong, Ronald T. Chin
Exploiting Image Indexing Techniques In Dct Domain, Chong-Wah Ngo, Ting-Chuen Pong, Ronald T. Chin
Research Collection School Of Computing and Information Systems
This paper is concerned with the indexing and retrieval of images based on features extracted directly from the JPEG discrete cosine transform (DCT) domain. We examine possible ways of manipulating DCT coefficients by standard image analysis approaches to describe image shape, texture, and color. Through the Mandala transformation, our approach groups a subset of DCT coefficients to form ten blocks. Each block represents a particular frequency content of the original image. Two blocks are used to model rough object shape; nine blocks to describe subband properties; and one block to compute color distribution. As a result, the amount of data …
Video Partitioning By Temporal Slice Coherency, Chong-Wah Ngo, Ting-Chuen Pong, Roland T. Chin
Video Partitioning By Temporal Slice Coherency, Chong-Wah Ngo, Ting-Chuen Pong, Roland T. Chin
Research Collection School Of Computing and Information Systems
We present a novel approach for video partitioning by detecting three essential types of camera breaks, namely cuts, wipes, and dissolves. The approach is based on the analysis of temporal slices which are extracted from the video by slicing through the sequence of video frames and collecting temporal signatures. Each of these slices contains both spatial and temporal information from which coherent regions are indicative of uninterrupted video partitions separated by camera breaks. Properties could further be extracted from the slice for both the detection and classification of camera breaks. For example, cut and wipes are detected by color-texture properties, …
Recent Advances In Content-Based Video Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
Recent Advances In Content-Based Video Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
Research Collection School Of Computing and Information Systems
In this paper, we present major issues in video parsing, abstraction, retrieval and semantic analysis. We discuss the success, the difficulties and the expectations in these areas. In addition, we identify important opened problems that can lead to more sophisticated ways of video content analysis. For video parsing, we discuss topics in video partitioning, motion characterization and object segmentation. The success in video parsing, in general, will have a great impact on video representation and retrieval. We present three levels of abstracting video content by scene, keyframe and key object representations. These representation schemes in overall serve as a good …