The VideoCLEF track, introduced in 2008, aims to develop and evaluate tasks related to analysis of and access to multilingual multimedia content. In its first year, VideoCLEF pilo...
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
We compare two transform-based indexing methods for retrieval of 3D objects. We apply 3D Discrete Fourier Transform (DFT) and 3D Radial Cosine Transform (RCT) to the voxelized dat...
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ong...