
ISO 15938:2015
ISO 15938:2015 Information technology – Multimedia content description interface – Part 13: Compact descriptors for visual search
CDN $442.00
Description
1.1 Organization of the document
ISO/IEC 15938-13:2015 is as follows. Clauses 2-3 specify the terms, abbreviations, symbols and conventions used in the document. Clause 4 specifies the binary representation syntax and descriptor component semantics for a CDVS image descriptor. Clause 5 specifies the extraction and encoding process for a CDVS image descriptor. Annexes A-J specify information relevant to the encoding process of Clause 5. Annex K contains an informative description of the decoding process of a CDVS image descriptor.
1.2 Overview of compact descriptors for visual search
This part of the MPEG-7 standard specifies an image description tool designed to enable efficient and interoperable visual search applications, allowing visual content matching in images. Visual content matching includes matching of views of objects, landmarks, and printed documents, while being robust to partial occlusions as well as changes in viewpoint, camera parameters, and lighting conditions.
Edition
1
Published Date
2015-08-25
Status
PUBLISHED
Pages
146
Format 
Secure PDF
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Abstract
1.1 Organization of the document
ISO/IEC 15938-13:2015 is as follows. Clauses 2-3 specify the terms, abbreviations, symbols and conventions used in the document. Clause 4 specifies the binary representation syntax and descriptor component semantics for a CDVS image descriptor. Clause 5 specifies the extraction and encoding process for a CDVS image descriptor. Annexes A-J specify information relevant to the encoding process of Clause 5. Annex K contains an informative description of the decoding process of a CDVS image descriptor.
1.2 Overview of compact descriptors for visual searchThis part of the MPEG-7 standard specifies an image description tool designed to enable efficient and interoperable visual search applications, allowing visual content matching in images. Visual content matching includes matching of views of objects, landmarks, and printed documents, while being robust to partial occlusions as well as changes in viewpoint, camera parameters, and lighting conditions.
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