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Sensing Trending Topics in Twitter
It is found that standard natural language processing techniques can perform well for social streams on very focused topics, but novel techniques designed to mine the temporal distribution of concepts are needed to handle more heterogeneous streams containing multiple stories evolving in parallel.
Social Event Detection at MediaEval 2012: Challenges, Dataset and Evaluation
This paper provides an overview of the Social Event Detection (SED) task, which is organized as part of the MediaEval 2012 benchmarking activity and examines how social events can be detected by…
Community detection in Social Media
- S. Papadopoulos, Y. Kompatsiaris, A. Vakali, P. Spyridonos
- Computer ScienceData Mining and Knowledge Discovery
- 1 May 2012
This survey first frames the concept of community and the problem of community detection in the context of Social Media, and provides a compact classification of existing algorithms based on their methodological principles, placing special emphasis on the performance of existing methods in terms of computational complexity and memory requirements.
A soft frequent pattern mining approach for textual topic detection
- Georgios Petkos, S. Papadopoulos, L. Aiello, Ryan Skraba, Y. Kompatsiaris
- Computer ScienceWIMS '14
- 2 June 2014
This work argues that examining the simultaneous cooccurrence patterns of a larger number of terms, is a better option when the corpus contains a set of closely related fine-grained topics.
Towards content-oriented patent document processing
Detecting image splicing in the wild (WEB)
- M. Zampoglou, S. Papadopoulos, Y. Kompatsiaris
- Computer ScienceIEEE International Conference on Multimedia…
- 30 July 2015
This work investigates the potential for applying today's state of the art in image splicing detection in the context of images on the Web and images disseminated through social media, and investigates the alterations social media platforms apply on images and evaluates their impact on tampering detection.
FIVR: Fine-Grained Incident Video Retrieval
- Giorgos Kordopatis-Zilos, S. Papadopoulos, I. Patras, I. Kompatsiaris
- Computer ScienceIEEE Transactions on Multimedia
- 11 September 2018
This paper constructs and presents a large-scale annotated video dataset, which it is reported that comprises 225,960 videos, and devise a protocol for the annotation of the dataset with respect to the four types of video associations defined by FIVR.
ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning
- Giorgos Kordopatis-Zilos, S. Papadopoulos, I. Patras, Y. Kompatsiaris
- Computer ScienceIEEE/CVF International Conference on Computer…
- 20 August 2019
ViSiL, a Video Similarity Learning architecture that considers fine-grained Spatio-Temporal relations between pairs of videos, is introduced and evaluated on five public benchmark datasets on four different video retrieval problems where it demonstrates large improvements in comparison to the state of the art.
Cluster-Based Landmark and Event Detection for Tagged Photo Collections
- S. Papadopoulos, Christos Zigkolis, Y. Kompatsiaris, A. Vakali
- Environmental ScienceIEEE MultiMedia
An image analysis scheme can automate the detection of landmarks and events in large image collections, significantly improving the content-consumption experience.
Verifying Multimedia Use at MediaEval 2016
An overview of the Verifying Multimedia Use task, which deals with the automatic detection of manipulation and misuse of Web multimedia content, and a large corpus of real-world cases of images that were distributed through tweets, along with manually assigned labels regarding their use.