Spatial shape error concealment for object-based image and video coding
In this paper, an original spatial shape error-concealment technique, to be used in the context of object-based image and video coding schemes, is proposed. In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the sh...
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description | In this paper, an original spatial shape error-concealment technique, to be used in the context of object-based image and video coding schemes, is proposed. In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the border of the object can be extracted. However, due to errors, some parts of the contour will be missing and, therefore, the contour will be broken. The proposed technique relies on the interpolation of the missing contours with Be/spl acute/zier curves, which is done based on the available surrounding contours. After all the missing parts of the contour have been interpolated, the concealed alpha plane can be easily reconstructed from the fully recovered contour and used instead of the erroneous one improving the final subjective impact. |
doi_str_mv | 10.1109/TIP.2004.823826 |
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In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the border of the object can be extracted. However, due to errors, some parts of the contour will be missing and, therefore, the contour will be broken. The proposed technique relies on the interpolation of the missing contours with Be/spl acute/zier curves, which is done based on the available surrounding contours. After all the missing parts of the contour have been interpolated, the concealed alpha plane can be easily reconstructed from the fully recovered contour and used instead of the erroneous one improving the final subjective impact.</description><identifier>ISSN: 1057-7149</identifier><identifier>EISSN: 1941-0042</identifier><identifier>DOI: 10.1109/TIP.2004.823826</identifier><identifier>PMID: 15376592</identifier><identifier>CODEN: IIPRE4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Availability ; Bezier ; Borders ; Coding ; Data Compression - methods ; Data mining ; Decoding ; Errors ; Exact sciences and technology ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image reconstruction ; Information, signal and communications theory ; Interpolation ; Motion estimation ; Pattern Recognition, Automated ; Planes ; Reproducibility of Results ; Sensitivity and Specificity ; Shape ; Signal processing ; Signal Processing, Computer-Assisted ; Streaming media ; Subtraction Technique ; Telecommunications and information theory ; Video coding ; Video compression ; Video Recording - methods</subject><ispartof>IEEE transactions on image processing, 2004-04, Vol.13 (4), p.586-599</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the border of the object can be extracted. However, due to errors, some parts of the contour will be missing and, therefore, the contour will be broken. The proposed technique relies on the interpolation of the missing contours with Be/spl acute/zier curves, which is done based on the available surrounding contours. After all the missing parts of the contour have been interpolated, the concealed alpha plane can be easily reconstructed from the fully recovered contour and used instead of the erroneous one improving the final subjective impact.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Availability</subject><subject>Bezier</subject><subject>Borders</subject><subject>Coding</subject><subject>Data Compression - methods</subject><subject>Data mining</subject><subject>Decoding</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Information, signal and communications theory</subject><subject>Interpolation</subject><subject>Motion estimation</subject><subject>Pattern Recognition, Automated</subject><subject>Planes</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Shape</subject><subject>Signal processing</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Streaming media</subject><subject>Subtraction Technique</subject><subject>Telecommunications and information theory</subject><subject>Video coding</subject><subject>Video compression</subject><subject>Video Recording - methods</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqF0c9rFDEUB_AgFftDzx4KMgjqabZ5-Z1jKbYWFhRcz-FN5k2dZXZmm8wK_vdm2YVKD3pKXvLJzy9jb4EvALi_Wt1_WwjO1cIJ6YR5wc7AK6jLiDgpfa5tbUH5U3ae85pzUBrMK3YKWlqjvThjd9-3OPc4VPknbqmilKZUxWmMhMOGxrnqSj01a4pz3WCmtuo3-EAVjm31q29pKrjtx4fX7GWHQ6Y3x_aC_bj9vLr5Ui-_3t3fXC_rqKSca1Jd08bOSyMMNohWl1voKIwXvtQtSQmWnPEaS9HpBrRqUESKppNaGHnBPh323abpcUd5Dps-RxoGHGna5eA5GA0cfJEf_ymNcR7KP_0XCmcMCGELfP8MrqddGstzg3NSW7CKF3R1QDFNOSfqwjaVL0u_A_CwzyyUzMI-s3DIrKx4d9x212yoffLHkAr4cASYIw5dwjH2-S9nuNVuf_TlwfVE9DQtnJJeyT9YgKYP</recordid><startdate>20040401</startdate><enddate>20040401</enddate><creator>Soares, L.D.</creator><creator>Pereira, F.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the border of the object can be extracted. However, due to errors, some parts of the contour will be missing and, therefore, the contour will be broken. The proposed technique relies on the interpolation of the missing contours with Be/spl acute/zier curves, which is done based on the available surrounding contours. After all the missing parts of the contour have been interpolated, the concealed alpha plane can be easily reconstructed from the fully recovered contour and used instead of the erroneous one improving the final subjective impact.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>15376592</pmid><doi>10.1109/TIP.2004.823826</doi><tpages>14</tpages></addata></record> |
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subjects | Algorithms Applied sciences Availability Bezier Borders Coding Data Compression - methods Data mining Decoding Errors Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Information, signal and communications theory Interpolation Motion estimation Pattern Recognition, Automated Planes Reproducibility of Results Sensitivity and Specificity Shape Signal processing Signal Processing, Computer-Assisted Streaming media Subtraction Technique Telecommunications and information theory Video coding Video compression Video Recording - methods |
title | Spatial shape error concealment for object-based image and video coding |
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