IEICE TRANSACTIONS on Information
Global Motion Representation of Video Shot Based on Vector Quantization Index Histogram
Summary :
In this Letter, we propose a novel method of low-level global motion feature description based on Vector Quantization (VQ) index histograms of motion feature vectors (MFVVQIH) for the purpose of video shot retrieval. The contribution lies in three aspects: first, we use VQ to eliminate singular points in the motion feature vector space; second, we utilize the global motion feature vector index histogram of a video shot as the global motion signature; third, video shot retrieval based on index histograms instead of original motion feature vectors guarantees the low computation complexity, and thus assures a real-time video shot retrieval. Experimental results show that the proposed scheme has high accuracy and low computation complexity.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.1 pp.90-92
- Publication Date
- 2009/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.90
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Fa-Xin YU, Zhe-Ming LU, Zhen LI, Hao LUO, "Global Motion Representation of Video Shot Based on Vector Quantization Index Histogram" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 1, pp. 90-92, January 2009, doi: 10.1587/transinf.E92.D.90.
Abstract: In this Letter, we propose a novel method of low-level global motion feature description based on Vector Quantization (VQ) index histograms of motion feature vectors (MFVVQIH) for the purpose of video shot retrieval. The contribution lies in three aspects: first, we use VQ to eliminate singular points in the motion feature vector space; second, we utilize the global motion feature vector index histogram of a video shot as the global motion signature; third, video shot retrieval based on index histograms instead of original motion feature vectors guarantees the low computation complexity, and thus assures a real-time video shot retrieval. Experimental results show that the proposed scheme has high accuracy and low computation complexity.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.90/_p
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@ARTICLE{e92-d_1_90,
author={Fa-Xin YU, Zhe-Ming LU, Zhen LI, Hao LUO, },
journal={IEICE TRANSACTIONS on Information},
title={Global Motion Representation of Video Shot Based on Vector Quantization Index Histogram},
year={2009},
volume={E92-D},
number={1},
pages={90-92},
abstract={In this Letter, we propose a novel method of low-level global motion feature description based on Vector Quantization (VQ) index histograms of motion feature vectors (MFVVQIH) for the purpose of video shot retrieval. The contribution lies in three aspects: first, we use VQ to eliminate singular points in the motion feature vector space; second, we utilize the global motion feature vector index histogram of a video shot as the global motion signature; third, video shot retrieval based on index histograms instead of original motion feature vectors guarantees the low computation complexity, and thus assures a real-time video shot retrieval. Experimental results show that the proposed scheme has high accuracy and low computation complexity.},
keywords={},
doi={10.1587/transinf.E92.D.90},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Global Motion Representation of Video Shot Based on Vector Quantization Index Histogram
T2 - IEICE TRANSACTIONS on Information
SP - 90
EP - 92
AU - Fa-Xin YU
AU - Zhe-Ming LU
AU - Zhen LI
AU - Hao LUO
PY - 2009
DO - 10.1587/transinf.E92.D.90
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2009
AB - In this Letter, we propose a novel method of low-level global motion feature description based on Vector Quantization (VQ) index histograms of motion feature vectors (MFVVQIH) for the purpose of video shot retrieval. The contribution lies in three aspects: first, we use VQ to eliminate singular points in the motion feature vector space; second, we utilize the global motion feature vector index histogram of a video shot as the global motion signature; third, video shot retrieval based on index histograms instead of original motion feature vectors guarantees the low computation complexity, and thus assures a real-time video shot retrieval. Experimental results show that the proposed scheme has high accuracy and low computation complexity.
ER -
English
