Abstract
Joint representation of color-based features for multiple images or a video segment is an important task for visual information management systems. Generally, a key-frame or key-image is selected from such a group, and the color-related features of the entire collection are represented with those of the chosen sample. Such methods are highly dependent on the quality of the representative sample, and may lead to unreliable results. We present a set of histogram-based descriptors that reliably capture the color content of multiple images or video frames. These descriptors are defined for a group-of-frames (GoF) or a group-of-pictures (GoP). A single representation for the entire collection is obtained by combining individual frame or image histograms in various ways. We demonstrated the efficacy of GoF-histograms for video segment retrieval and the GoP-histograms for fast image search. This descriptor has been accepted to the Working Draft of MPEG-7, the evolving ISO standard for multimedia content description.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing |
| Pages | 65-68 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - Dec 1 2000 |
| Externally published | Yes |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 9/10/00 → 9/13/00 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Group-of-frames/pictures color histogram descriptors for multimedia applications. / Ferman, A. M.; Krishnamachari, S.; Tekalp, A. M.; Abdel-Mottaleb, Mohamed; Mehrotra, R.
IEEE International Conference on Image Processing. Vol. 1 2000. p. 65-68.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Group-of-frames/pictures color histogram descriptors for multimedia applications
AU - Ferman, A. M.
AU - Krishnamachari, S.
AU - Tekalp, A. M.
AU - Abdel-Mottaleb, Mohamed
AU - Mehrotra, R.
PY - 2000/12/1
Y1 - 2000/12/1
N2 - Joint representation of color-based features for multiple images or a video segment is an important task for visual information management systems. Generally, a key-frame or key-image is selected from such a group, and the color-related features of the entire collection are represented with those of the chosen sample. Such methods are highly dependent on the quality of the representative sample, and may lead to unreliable results. We present a set of histogram-based descriptors that reliably capture the color content of multiple images or video frames. These descriptors are defined for a group-of-frames (GoF) or a group-of-pictures (GoP). A single representation for the entire collection is obtained by combining individual frame or image histograms in various ways. We demonstrated the efficacy of GoF-histograms for video segment retrieval and the GoP-histograms for fast image search. This descriptor has been accepted to the Working Draft of MPEG-7, the evolving ISO standard for multimedia content description.
AB - Joint representation of color-based features for multiple images or a video segment is an important task for visual information management systems. Generally, a key-frame or key-image is selected from such a group, and the color-related features of the entire collection are represented with those of the chosen sample. Such methods are highly dependent on the quality of the representative sample, and may lead to unreliable results. We present a set of histogram-based descriptors that reliably capture the color content of multiple images or video frames. These descriptors are defined for a group-of-frames (GoF) or a group-of-pictures (GoP). A single representation for the entire collection is obtained by combining individual frame or image histograms in various ways. We demonstrated the efficacy of GoF-histograms for video segment retrieval and the GoP-histograms for fast image search. This descriptor has been accepted to the Working Draft of MPEG-7, the evolving ISO standard for multimedia content description.
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M3 - Conference contribution
VL - 1
SP - 65
EP - 68
BT - IEEE International Conference on Image Processing
ER -