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Multimedia search and retrieval using multimodal annotation propagation and indexing techniques
2013
Signal processing. Image communication
In this paper, a novel framework for multimodal search and retrieval of rich media objects is presented. The searchable items are media representations consisting of multiple modalities, such as 2D images, 3D objects and audio files, which share a common semantic concept. A manifold learning technique based on Laplacian Eigenmaps was appropriately modified in order to merge the low-level descriptors of each separate modality and create a new low-dimensional multimodal feature space, where all
doi:10.1016/j.image.2012.04.001
fatcat:h6eto4v6nnazdj6e5yvveqcmom