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Row blocks3/12/2023 ![]() The proposed pipeline is tested on big multi-modal dataset typical of film and broadcast production which are made publicly available. This is the first unified 3D web-based visualisation of multimodal visual media production datasets. Thus, we employ hierarchical techniques for compression and restructuring to enable efficient transmission and visualisation over the web, leading to interactive visualisation as registered point clouds, 2D images, and videos in the browser, improving on the current state of the art techniques for web-based visualisation of big media data. The resulting registered 2D/3D multi-modal visual data is too large to be downloaded and viewed directly via the web browser while maintaining an acceptable user experience. A new feature description and matching method is proposed, adaptively considering local geometry, semi-global geometry and colour information in the scene for more robust registration. In this paper we propose a unified framework for registration and visualisation of this type of visual media data. For such a visualisation a web-based context presents several advantages. A combined 2D/3D visualisation of this registered data allows an integrated overview of the entire dataset. Registration of visual data acquired from various 2D and 3D sensing modalities is challenging because current matching and registration methods are not appropriate due to differences in structure, format and noise characteristics for multi-modal data. ![]() Current media production rely on both video from the principal camera together with a wide variety of heterogeneous source of supporting data (photos, LiDAR point clouds, witness video camera, HDRI and depth imagery). Recent developments of video and sensing technology have led to large volumes of digital media data.
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