A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process

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》资源》论文》A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process

A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process

2020-01-17 |

76 |

45 |

A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
论文

Abstract

We propose a multimodal retrieval procedure based on latent feature models. The procedure consists of a Bayesian nonparametric framework for learning underlying semantically meaningful abstract features in a multimodal dataset, a probabilistic retrieval model that allows cross-modal queries and an extension model for relevance feedback. Experiments on two multimodal datasets, PASCAL-Sentence and SUN-Attribute, demonstrate the effectiveness of the proposed retrieval procedure in comparison to the state-of-the-art algorithms for learning binary codes.

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