An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song+6 more
doaj +1 more source
Agile elicitation of semantic goals by wiki [PDF]
Formal goal and service descriptions are the shibboleth of the semantic web services approach, yet the people responsible for creating them are neither machines nor logicians, and rarely even knowledge engineers: the people who need and specify ...
Domingue, John+2 more
core +1 more source
Bridging the Gap between Semantics and Multimedia Processing [PDF]
In this paper, we give an overview of the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the gap in terms of a classical architecture for multimedia processing and discuss a structured approach to bridge it.
Moreno, Marcio Ferreira+4 more
openaire +4 more sources
DA-GAN: Dual Attention Generative Adversarial Network for Cross-Modal Retrieval
Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities,
Liewu Cai+3 more
doaj +1 more source
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey [PDF]
The fact that there exists a gap between low-level features and semantic meanings of images, called the semantic gap, is known for decades. Resolution of the semantic gap is a long standing problem. The semantic gap problem is reviewed and a survey on recent efforts in bridging the gap is made in this work.
arxiv
Semantics-based selection of everyday concepts in visual lifelogging [PDF]
Concept-based indexing, based on identifying various semantic concepts appearing in multimedia, is an attractive option for multimedia retrieval and much research tries to bridge the semantic gap between the media’s low-level features and high-level ...
Smeaton, Alan F., Wang, Peng
core +1 more source
Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases
The paper addresses image feature characterization and the structuring of large and heterogeneous image databases through the stochasticity or randomness appearance. Measuring stochasticity involves finding suitable representations that can significantly
Rémi Mégret+2 more
doaj +1 more source
Multi-Modal Fake News Detection via Bridging the Gap between Modals
Multi-modal fake news detection aims to identify fake information through text and corresponding images. The current methods purely combine images and text scenarios by a vanilla attention module but there exists a semantic gap between different ...
Peng Liu+4 more
doaj +1 more source
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding [PDF]
Semantic parsing is challenging due to the structure gap and the semantic gap between utterances and logical forms. In this paper, we propose an unsupervised semantic parsing method - Synchronous Semantic Decoding (SSD), which can simultaneously resolve the semantic gap and the structure gap by jointly leveraging paraphrasing and grammar constrained ...
arxiv
Organizational challenges of the semantic web in digital libraries [PDF]
The Semantic Web initiative holds large promises for the future. There is, however, a considerable gap in Semantic Web research between the contributions in the technological field and the research done in the organizational field.
Bygstad, B, Ghinea, G, Klaebo, GT
core +1 more source