CDVA
This document provides Working Draft 2 of Compact Descriptors for Video Analysis.
~~The purpose of this document is to provide descriptions of six core experiments on MPEG Compact Descriptors for Video Analysis (CDVA). The previous six CEs are being continued.
The results of experiments will be discussed on the reflector before the 121st MPEG meeting.
The report of each CE should include; (1) a comparison between the tested solutions, (2) recommendation to the AhG based on the results of the CE.
CDVA defines video descriptors for search and retrieval applications, specifically for visual content matching in video. Visual content matching includes matching of views of large and small objects and scenes, that is robust to partial occlusions as well as changes in view point, camera parameters, and lighting conditions.
The purpose of this document is to provide descriptions of six core experiments on MPEG Compact Descriptors for Video Analysis (CDVA). The previous six CEs are being continued.
The results of experiments will be discussed on the reflector before the 120th MPEG meeting.
The report of each CE should include; (1) a comparison between the tested solutions, (2) a recommendation based on the results of the CE.
The current media and entertainment domain is characterized by increasing volumes of content, large number of delivery channels and an ever-growing need for the relevant content to be accessed on demand or published quickly. This is very difficult without appropriate tools to manage content items, including search for object instances in video, categorisation of scenes and content grouping.
The purpose of this document is to provide descriptions of six core experiments on MPEG Compact Descriptors for Video Analysis (CDVA). The previous three CEs have been reviewed, and based on the responses received and the open issues they pose, one additional CE on matching and retrieval has been added, and the CEs related to deep-learning based descriptors have been split. The description of all CEs has been improved, adding more details on the experiments and expected results.
The purpose of this document is to provide descriptions of six core experiments on MPEG Compact Descriptors for Video Analysis (CDVA) (see N15339, "Call for Proposals for Compact Descriptors for Video Analysis (CDVA) - Search and Retrieval", June 2015, Warsaw, PL).
CDVA defines video descriptors for search and retrieval applications, specifically for visual content matching in video. Visual content matching includes matching of views of large and small objects and scenes, that is robust to partial occlusions as well as changes in view point, camera parameters, and lighting conditions.
CDVA defines video descriptors for search and retrieval applications, specifically for visual content matching in video. Visual content matching includes matching of views of large and small objects and scenes, that is robust to partial occlusions as well as changes in view point, camera parameters, and lighting conditions.
The purpose of this document is to provide descriptions of three core experiments on MPEG Compact Descriptors for Video Analysis (CDVA) based on the proposals submitted at 114th MPEG meeting and the submission to the 115th and 116th meeting. In addition to the CEs defined in the earlier version of this document, the submissions to the 116th proposed the use of deep-learning-based descriptors and related experiments, which have been added as CE4.