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Outputs (219)

Compressed Dynamic Mesh Sequence for Progressive Streaming (2018)
Journal Article
Yang, B., Jiang, Z., Shangguan, J., Li, F. W., Song, C., Guo, Y., & Xu, M. (2019). Compressed Dynamic Mesh Sequence for Progressive Streaming. Computer Animation and Virtual Worlds, 30(6), Article e1847. https://doi.org/10.1002/cav.1847

Dynamic mesh sequence (DMS) is a simple and accurate representation for precisely recording a 3D animation sequence. Despite its simplicity, this representation is typically large in data size, making storage and transmission expensive. This paper pr... Read More about Compressed Dynamic Mesh Sequence for Progressive Streaming.

Lightweight adaptive E-Advertising Model (2018)
Journal Article
Qaffas, A. A., Cristea, A., & Mead, M. A. (2018). Lightweight adaptive E-Advertising Model. Journal of Universal Computer Science, 24(7), 935-974

Adaptive online advertising is a rapidly expanding marketing tool that delivers personalised messages and adverts to Internet users. At a time when the Internet is burgeoning, many websites use an adaptation process to tailor their advertisements, ho... Read More about Lightweight adaptive E-Advertising Model.

Classification Transfer for Qualitative Reasoning Problems (2018)
Presentation / Conference Contribution
Bodirsky, M., Jonsson, P., Martin, B., & Mottet, A. (2018, July). Classification Transfer for Qualitative Reasoning Problems. Presented at IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence., Stockholm, Sweden

We study formalisms for temporal and spatial reasoning in the modern context of Constraint Satisfaction Problems (CSPs). We show how questions on the complexity of their subclasses can be solved using existing results via the powerful use of primitiv... Read More about Classification Transfer for Qualitative Reasoning Problems.

Building and evaluating resources for sentiment analysis in the Greek language (2018)
Journal Article
Tsakalidis, A., Papadopoulos, S., Voskaki, R., Ioannidou, K., Boididou, C., Cristea, A., Liakata, M., & Kompatsiaris, Y. (2018). Building and evaluating resources for sentiment analysis in the Greek language. Language Resources and Evaluation, 52(4), 1021-1044. https://doi.org/10.1007/s10579-018-9420-4

Sentiment lexicons and word embeddings constitute well-established sources of information for sentiment analysis in online social media. Although their effectiveness has been demonstrated in state-of-the-art sentiment analysis and related tasks in th... Read More about Building and evaluating resources for sentiment analysis in the Greek language.

Temporal network optimization subject to connectivity constraints (2018)
Journal Article
Mertzios, G., Michail, O., & Spirakis, P. (2019). Temporal network optimization subject to connectivity constraints. Algorithmica, 81(4), 1416-1449. https://doi.org/10.1007/s00453-018-0478-6

In this work we consider temporal networks, i.e. networks defined by a labeling λ assigning to each edge of an underlying graph G a set of discrete time-labels. The labels of an edge, which are natural numbers, indicate the discrete time moments at w... Read More about Temporal network optimization subject to connectivity constraints.

Scalable Remote Rendering using Synthesized Image Quality Assessment (2018)
Journal Article
Wang, X., Liang, X., Yang, B., & Li, F. W. (2018). Scalable Remote Rendering using Synthesized Image Quality Assessment. IEEE Access, 6, 36595-36610. https://doi.org/10.1109/access.2018.2853132

Depth-image-based rendering (DIBR) is widely used to support 3D interactive graphics on low-end mobile devices. Although it reduces the rendering cost on a mobile device, it essentially turns such a cost into depth image transmission cost or bandwidt... Read More about Scalable Remote Rendering using Synthesized Image Quality Assessment.

Economical crowdsourcing for camera trap image classification (2018)
Journal Article
Hsing, P., Bradley, S., Kent, V., Hill, R., Smith, G., Whittingham, M., …Stephens, P. (2018). Economical crowdsourcing for camera trap image classification. Remote Sensing in Ecology and Conservation, 4(4), 361-374. https://doi.org/10.1002/rse2.84

Camera trapping is widely used to monitor mammalian wildlife but creates large image datasets that must be classified. In response, there is a trend towards crowdsourcing image classification. For high‐profile studies of charismatic faunas, many clas... Read More about Economical crowdsourcing for camera trap image classification.