Results 211 to 220 of about 2,681 (242)
Some of the next articles are maybe not open access.
DISPARITY MAP ESTIMATION FROM CROSS-MODAL STEREO
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018Mono-modal stereo matching problem has been studied for decades. The introduction of cross-modal stereo systems in industrial scene increases the interest in cross-modal stereo matching. The existing algorithms mostly consider mono-modal setting so they do not translate well in cross-modal setting.
Thapanapong Rukkanchanunt +3 more
openaire +1 more source
Audio/visual mapping with cross-modal hidden Markov models
IEEE Transactions on Multimedia, 2005The audio/visual mapping problem of speech-driven facial animation has intrigued researchers for years. Recent research efforts have demonstrated that hidden Markov model (HMM) techniques, which have been applied successfully to the problem of speech recognition, could achieve a similar level of success in audio/visual mapping problems. A number of HMM-
Shengli Fu +4 more
openaire +2 more sources
Coupled dictionary learning and feature mapping for cross-modal retrieval
2015 IEEE International Conference on Multimedia and Expo (ICME), 2015In this paper, we investigate the problem of modeling images and associated text for cross-modal retrieval tasks such as text-to-image search and image-to-text search. To make the data from image and text modalities comparable, previous cross-modal retrieval methods directly learn two projection matrices to map the raw features of the two modalities ...
Xing Xu 0001 +3 more
openaire +1 more source
Multimedia Feature Mapping and Correlation Learning for Cross-Modal Retrieval
International Journal of Grid and High Performance Computing, 2018This article describes how with the rapid increasing of multimedia content on the Internet, the need for effective cross-modal retrieval has attracted much attention recently. Many related works ignore the latent semantic correlations of modalities in the non-linear space and the extraction of high-level modality features, which only focuses on the ...
Xu Yuan 0002 +4 more
openaire +1 more source
MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN
Knowledge-Based Systems, 2023Map quality is of great importance to location-based-services(LBS) applications such as navigation and route planning. Typically, a map can be extracted from either vehicle GPS trajectories or aerial images. Unfortunately, the quality of the extracted maps is usually unsatisfactory due to the inherent quality issues in the two data sources.
Chen, Zheng +5 more
openaire +3 more sources
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014Following up on recent work on establishing a mapping between vector-based semantic embeddings of words and the visual representations of the corresponding objects from natural images, we first present a simple approach to cross-modal vector-based semantics for the task of zero-shot learning, in which an image of a previously unseen object is mapped to
Lazaridou, Angeliki +2 more
openaire +2 more sources
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Hashing has gained considerable attention on large-scale similarity search, due to its enjoyable efficiency and low storage cost. In this paper, we study the problem of learning hash functions in the context of multi-modal data for cross-modal similarity search.
Yang Wang 0023 +4 more
openaire +1 more source
Hashing has gained considerable attention on large-scale similarity search, due to its enjoyable efficiency and low storage cost. In this paper, we study the problem of learning hash functions in the context of multi-modal data for cross-modal similarity search.
Yang Wang 0023 +4 more
openaire +1 more source
What colour does that feel? Tactile–visual mapping and the development of cross-modality
Cortex, 2013Humans share implicit preferences for cross-modal mappings (e.g., low pitch sounds are preferentially paired with darker colours). Individuals with synaesthesia experience cross-modal mappings to a conscious degree (e.g., they may see colours when they hear sounds).
Vera U, Ludwig, Julia, Simner
openaire +2 more sources
Establishing Cross-Modal Mappings:
2014Pawan Sinha, Jonas Wulff, Richard Held
openaire +1 more source