Title

Octree-Based 3D Logic And Computation Of Spatial Relationships In Live Video Query Processing

Keywords

3D reconstruction; Live video computing; Live Video DataBase; Spatial relationships

Abstract

Live video computing (LVC) on distributed smart cameras has many important applications; and a database approach based on a Live Video DataBase Management System (LVDBMS) has shown to be effective for general LVC application development. The performance of such a database system relies on accurate interpretation of spatial relationships among objects in the live video. With the popularity of affordable depth cameras, 3D spatial computation techniques have been applied. However, the 3D object models currently used are expensive to compute, and offer limited scalability. We address this drawback in this article by proposing an octree-based 3D spatial logic and presenting algorithms for computing 3D spatial relationships using depth cameras. To support continuous query processing on live video streams, we also develop a GPU-based implementation of the proposed technique to further enhance scalability for real-time applications. Extensive performance studies based on a public RGB-D dataset as well as the LVDBMS prototype demonstrates the correctness and efficiency of our techniques.

Publication Date

12-1-2014

Publication Title

ACM Transactions on Multimedia Computing, Communications and Applications

Volume

11

Issue

2

Number of Pages

-

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/2645864

Socpus ID

84920946574 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84920946574

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