An Improvement Video Search Method for VP-Tree by using a Trigonometric Inequality

This paper presents an approach for improving the use of VP-tree in video indexing and searching. A vantage-point tree or VP-tree is one of the metric space-based indexing methods used in multimedia database searches and data retrieval. Instead of relying on the Euclidean distance as a measure of search space, the proposed approach focuses on the trigonometric inequality for compressing the search range, which thus, improves the search performance. A test result of using 10,000 video files shows that this method reduced the search time by 5-12%, as compared to the existing method that uses the AESA algorithm. Keywords—Vantage Point; VP-Tree; Trigonometric Inequality; Search Algorithm; Range Search; Nearest Neighbor Search; AESA algorithm; Multimedia Database