Adapting generative pretrained language model for open-domain multimodal sentence summarization
Multimodal sentence summarization, aiming to generate a brief summary of the source
sentence and image, is a new yet challenging task. Although existing methods have …
sentence and image, is a new yet challenging task. Although existing methods have …
Social media based event summarization by user–text–image co-clustering
Microblogging services have changed the way that people exchange information. There will
generate a large number of data on the web once popular events or emergencies occur …
generate a large number of data on the web once popular events or emergencies occur …
MMSUM digital twins: A multi-view multi-modality summarization framework for sporting events
Sporting events generate a massive amount of traffic on social media with live moment-to-
moment accounts as any given situation unfolds. The generated data are intensified by fans …
moment accounts as any given situation unfolds. The generated data are intensified by fans …
An SUI-based approach to explore visual search results cluster-graphs
Nowadays, exponential growth in online production and extensive perceptual power of
visual contents (ie, images) complicate the users' information needs. The research has …
visual contents (ie, images) complicate the users' information needs. The research has …
[PDF][PDF] A Survey on Automatic Twitter Event Summarization.
D Rudrapal, A Das… - Journal of …, 2018 - s3.ap-northeast-2.amazonaws.com
Twitter is one of the most popular social platforms for online users to share trendy
information and views on any event. Twitter reports an event faster than any other medium …
information and views on any event. Twitter reports an event faster than any other medium …
Cross-Media Topic Detection: Approaches, Challenges, and Applications
Developing technologies and new social media platforms (Facebook, YouTube, Flickr, and
Twitter) are transforming how people communicate with each other and scrutinize …
Twitter) are transforming how people communicate with each other and scrutinize …
ISRE-Framework: nonlinear and multimodal exploration of image search result spaces
The extensive information delivery power and an immense volume of image objects make
them frequently use multimedia content over the web. However, access to desired image …
them frequently use multimedia content over the web. However, access to desired image …
Event detection and retrieval on social media
In the recent years, we have witnessed the rapid adoption of social media platforms, such as
Twitter, Facebook and YouTube, and their use as part of the everyday life of billions of …
Twitter, Facebook and YouTube, and their use as part of the everyday life of billions of …
GraphMedia: Communication-balanced Graph Searching for Billion-scale Social Media Access
The graph has recently enabled substantial advances in big data analysis. As graphs are
increasing from billions to trillions, efficient graph processing requires large-scale distributed …
increasing from billions to trillions, efficient graph processing requires large-scale distributed …
Probabilistic trajectory prediction of heterogeneous traffic agents based on layered spatio-temporal graph
X Zhang, W Zhang, X Wu… - Proceedings of the …, 2021 - journals.sagepub.com
In order to safely and comfortably navigate in the complex urban traffic, it is necessary to
make multi-modal predictions of autonomous vehicles for the next trajectory of various traffic …
make multi-modal predictions of autonomous vehicles for the next trajectory of various traffic …