A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression
This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference sof...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jianshu Chao [verfasserIn] |
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| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
SIFT/SURF feature preservation |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on circuits and systems for video technology - New York, NY : Institute of Electrical and Electronics Engineers, 1991, 25(2015), 6, Seite 958-972 |
|---|---|
| Übergeordnetes Werk: |
volume:25 ; year:2015 ; number:6 ; pages:958-972 |
| Links: |
|---|
| DOI / URN: |
10.1109/TCSVT.2014.2367354 |
|---|
| Katalog-ID: |
OLC1958933333 |
|---|
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| 245 | 1 | 2 | |a A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression |
| 264 | 1 | |c 2015 | |
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| 520 | |a This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. | ||
| 650 | 4 | |a Bag-of- Features | |
| 650 | 4 | |a SURF | |
| 650 | 4 | |a Evaluation | |
| 650 | 4 | |a gradient based features | |
| 650 | 4 | |a SIFT/SURF feature preservation | |
| 650 | 4 | |a novel rate control framework | |
| 650 | 4 | |a gradient methods | |
| 650 | 4 | |a data compression | |
| 650 | 4 | |a Video sequences | |
| 650 | 4 | |a SIFT | |
| 650 | 4 | |a real image retrieval system | |
| 650 | 4 | |a Bit rate | |
| 650 | 4 | |a bag-of-features concept | |
| 650 | 4 | |a feature extraction | |
| 650 | 4 | |a Detectors | |
| 650 | 4 | |a Visualization | |
| 650 | 4 | |a Vectors | |
| 650 | 4 | |a feature preservation | |
| 650 | 4 | |a H.264/AVC video compression | |
| 650 | 4 | |a Image coding | |
| 650 | 4 | |a JM reference software | |
| 650 | 4 | |a H.264/AVC | |
| 650 | 4 | |a quantization parameters | |
| 650 | 4 | |a video coding | |
| 650 | 4 | |a Rate control | |
| 650 | 4 | |a image retrieval | |
| 650 | 4 | |a scale invariant feature transform | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Methods | |
| 650 | 4 | |a Usage | |
| 700 | 1 | |a Huitl, Robert |4 oth | |
| 700 | 1 | |a Steinbach, Eckehard |4 oth | |
| 700 | 1 | |a Schroeder, Damien |4 oth | |
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10.1109/TCSVT.2014.2367354 doi PQ20160617 (DE-627)OLC1958933333 (DE-599)GBVOLC1958933333 (PRQ)c1556-6547970efa26e5a00224bcb55287b3ff7cbd77befeb07727da4f58cb51edb4990 (KEY)0203241420150000025000600958novelratecontrolframeworkforsiftsurffeaturepreserv DE-627 ger DE-627 rakwb eng 620 DNB Jianshu Chao verfasserin aut A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage Huitl, Robert oth Steinbach, Eckehard oth Schroeder, Damien oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 25(2015), 6, Seite 958-972 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:25 year:2015 number:6 pages:958-972 http://dx.doi.org/10.1109/TCSVT.2014.2367354 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6948223 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 25 2015 6 958-972 |
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10.1109/TCSVT.2014.2367354 doi PQ20160617 (DE-627)OLC1958933333 (DE-599)GBVOLC1958933333 (PRQ)c1556-6547970efa26e5a00224bcb55287b3ff7cbd77befeb07727da4f58cb51edb4990 (KEY)0203241420150000025000600958novelratecontrolframeworkforsiftsurffeaturepreserv DE-627 ger DE-627 rakwb eng 620 DNB Jianshu Chao verfasserin aut A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage Huitl, Robert oth Steinbach, Eckehard oth Schroeder, Damien oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 25(2015), 6, Seite 958-972 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:25 year:2015 number:6 pages:958-972 http://dx.doi.org/10.1109/TCSVT.2014.2367354 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6948223 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 25 2015 6 958-972 |
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10.1109/TCSVT.2014.2367354 doi PQ20160617 (DE-627)OLC1958933333 (DE-599)GBVOLC1958933333 (PRQ)c1556-6547970efa26e5a00224bcb55287b3ff7cbd77befeb07727da4f58cb51edb4990 (KEY)0203241420150000025000600958novelratecontrolframeworkforsiftsurffeaturepreserv DE-627 ger DE-627 rakwb eng 620 DNB Jianshu Chao verfasserin aut A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage Huitl, Robert oth Steinbach, Eckehard oth Schroeder, Damien oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 25(2015), 6, Seite 958-972 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:25 year:2015 number:6 pages:958-972 http://dx.doi.org/10.1109/TCSVT.2014.2367354 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6948223 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 25 2015 6 958-972 |
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10.1109/TCSVT.2014.2367354 doi PQ20160617 (DE-627)OLC1958933333 (DE-599)GBVOLC1958933333 (PRQ)c1556-6547970efa26e5a00224bcb55287b3ff7cbd77befeb07727da4f58cb51edb4990 (KEY)0203241420150000025000600958novelratecontrolframeworkforsiftsurffeaturepreserv DE-627 ger DE-627 rakwb eng 620 DNB Jianshu Chao verfasserin aut A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage Huitl, Robert oth Steinbach, Eckehard oth Schroeder, Damien oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 25(2015), 6, Seite 958-972 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:25 year:2015 number:6 pages:958-972 http://dx.doi.org/10.1109/TCSVT.2014.2367354 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6948223 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 25 2015 6 958-972 |
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10.1109/TCSVT.2014.2367354 doi PQ20160617 (DE-627)OLC1958933333 (DE-599)GBVOLC1958933333 (PRQ)c1556-6547970efa26e5a00224bcb55287b3ff7cbd77befeb07727da4f58cb51edb4990 (KEY)0203241420150000025000600958novelratecontrolframeworkforsiftsurffeaturepreserv DE-627 ger DE-627 rakwb eng 620 DNB Jianshu Chao verfasserin aut A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage Huitl, Robert oth Steinbach, Eckehard oth Schroeder, Damien oth Enthalten in IEEE transactions on circuits and systems for video technology New York, NY : Institute of Electrical and Electronics Engineers, 1991 25(2015), 6, Seite 958-972 (DE-627)130978469 (DE-600)1074294-3 (DE-576)025194771 1051-8215 nnns volume:25 year:2015 number:6 pages:958-972 http://dx.doi.org/10.1109/TCSVT.2014.2367354 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6948223 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2002 AR 25 2015 6 958-972 |
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Jianshu Chao @@aut@@ Huitl, Robert @@oth@@ Steinbach, Eckehard @@oth@@ Schroeder, Damien @@oth@@ |
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Jianshu Chao ddc 620 misc Bag-of- Features misc SURF misc Evaluation misc gradient based features misc SIFT/SURF feature preservation misc novel rate control framework misc gradient methods misc data compression misc Video sequences misc SIFT misc real image retrieval system misc Bit rate misc bag-of-features concept misc feature extraction misc Detectors misc Visualization misc Vectors misc feature preservation misc H.264/AVC video compression misc Image coding misc JM reference software misc H.264/AVC misc quantization parameters misc video coding misc Rate control misc image retrieval misc scale invariant feature transform misc Algorithms misc Methods misc Usage A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression |
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620 DNB A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression Bag-of- Features SURF Evaluation gradient based features SIFT/SURF feature preservation novel rate control framework gradient methods data compression Video sequences SIFT real image retrieval system Bit rate bag-of-features concept feature extraction Detectors Visualization Vectors feature preservation H.264/AVC video compression Image coding JM reference software H.264/AVC quantization parameters video coding Rate control image retrieval scale invariant feature transform Algorithms Methods Usage |
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A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression |
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This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. |
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This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. |
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This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-features concept is proposed. Then, the matching scores are collected as a function of the quantization parameters and analyzed for different feature types. With this analysis, macroblocks are categorized into different groups before encoding. Our rate control algorithm assigns different quantization parameters to each group according to the importance of the group for feature extraction. The experimental results show that our rate control algorithm achieves the desired target bit rate, and more features are preserved compared with videos encoded using the default rate control. The proposed approach not only improves feature preservation, but also leads to a noticeable performance improvement in a real image retrieval system. The rate control framework proposed in this paper is fully standard compatible. |
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A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression |
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