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Proceedings ArticleDOI

Temporal color correlograms for video retrieval

Mika Rautiainen, +1 more
- Vol. 1, pp 10267
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TLDR
The efficiency of the temporal color correlogram and HSV color correlograms are evaluated against other retrieval systems participating the TREC video track evaluation and against color histograms used commonly in content-based retrieval.
Abstract
This paper presents a novel method to retrieve segmented video shots based on their color content. The temporal color correlogram captures the spatiotemporal relationship of colors in a video shot using cooccurrence statistics. The temporal color correlogram extends the HSV color correlogram that has been found to be very effective in content-based image retrieval. Temporal color correlograms compute the autocorrelation of quantized HSV color values from a set of frame samples taken from a video shot. In this paper, the efficiency of the temporal color correlogram and HSV color correlograms are evaluated against other retrieval systems participating the TREC video track evaluation and against color histograms used commonly in content-based retrieval. We used queries and relevance judgments on the I I hours of segmented MPEG-1 video provided to track participants. Tests are executed using our content-based multimedia retrieval system that was specifically developed for multimedia information retrieval applications.

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Citations
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TL;DR: Weighted fusion of text, concept and visual features improved the performance over text search baseline, and expanded query term list of text queries gave also notable increase in performance over the baseline text search.
References
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Book ChapterDOI

Computer graphics—principles and practice

TL;DR: These are the short notes for a two hour tutorial on principles and practice of computer graphics and scientific visualization and they cannot completely replace the contents of the tutorial transparencies and slides since restrictions in space and print quality do not permit the inclusion of figures and example images.
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Photobook: content-based manipulation of image databases

TL;DR: The Photobook system is described, which is a set of interactive tools for browsing and searching images and image sequences that make direct use of the image content rather than relying on text annotations to provide a sophisticated browsing and search capability.
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TL;DR: Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video.
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Comparing images using color coherence vectors

TL;DR: It is shown that CCV’s can give superior results to color histogram-based methods for comparing images that incorporates spatial information, and to whom correspondence should be addressed tograms for image retrieval.
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Efficient color histogram indexing for quadratic form distance functions

TL;DR: In this paper, the authors proposed the use of low-dimensional, simple to compute distance measures between the color distributions, and showed that these are lower bounds on the histogram distance measure.