MOVING tools, services and demos
Interactive online demo with audio and video analysis results in lecture and non-lecture videos. CERTH released an interactive online demo linking lecture videos, using general purpose concepts that were produced from textual analysis of their transcripts, with non-lecture videos, using their visual analysis results such as automatically detected shots, scenes, and visual concepts. You can access the demo at: http://multimedia2.iti.gr/moving-project/lecture-video-linking-demo/results.html (best viewed with Firefox).
Scientific Paper Recommendation using Sparse Title Data. The system delivers recommended scientific papers in economics based on what a social media user tweeted. It profiles papers as well as tweets using our novel method HCF-IDF (Hierarchical Concept Frequency Inverse Document Frequency). HCF-IDF extracts semantic concepts from texts and applies spreading activation based on a hierarchical thesaurus, which is freely available in many different domains. Spreading activation enables to extract relevant semantic concepts which are not mentioned in texts and mitigates shortness and sparseness of texts. The novel method HCF-IDF demonstrated the best performance in a larger user experiment published at JCDL’16. In this demo, you may compare the two different configurations, HCF-IDF using only titles of papers and HCF-IDF using both titles and full-texts of papers. Different from the traditional methods, HCF-IDF can provide competitive recommendations already using only titles.
Related tools and demos by the MOVING partners
Text Extraction from Scholarly Figures. Scholarly figures are data or visualizations like bar charts, pie charts, line graphs, maps, scatter plots or similar figures. Text extraction from scholarly figures is useful in many application scenarios, since text in scholarly figures often contains information that is not present in the surrounding text. We derived a generic pipeline for text extraction from the analysis of the wide research area on text extraction from figures and implemented in total over 20 methods for the six sequential steps of the pipeline.
Interactive on-line video analysis service lets you upload videos via a web interface, and it performs shot/scene segmentation and visual concept detection (several times faster than real-time; uses our new concept detection engine). Results are displayed in an interactive user interface, which allows navigating through the video structure (shots, scenes), viewing the concept detection results for each shot, and searching by concepts within the video. Try this service now!