Name
Title | ||
|---|---|---|
Automatic fine-grained hyperlinking of videos within a closed collection using scene segmentation. |
Abstract | ||
|---|---|---|
This paper introduces a framework for establishing links between related media fragments within a collection of videos. A set of analysis techniques is applied for extracting information from different types of data. Visual-based shot and scene segmentation is performed for defining media fragments at different granularity levels, while visual cues are detected from keyframes of the video via concept detection and optical character recognition (OCR). Keyword extraction is applied on textual data such as the output of OCR, subtitles and metadata. This set of results is used for the automatic identification and linking of related media fragments. The proposed framework exhibited competitive performance in the Video Hyperlinking sub-task of MediaEval 2013, indicating that video scene segmentation can provide more meaningful segments, compared to other decomposition methods, for hyperlinking purposes. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2647868.2655041 | ACM Multimedia 2001 |
Keywords | Field | DocType |
Video hyperlinking, scene segmentation, concept detection, keyword extraction, data indexing | Sensory cue,Metadata,Computer vision,Keyword extraction,Computer science,Optical character recognition,Data type,Hyperlink,Artificial intelligence,Granularity,Multimedia,Scene segmentation | Conference |
Citations | PageRank | References |
14 | 1.15 | 15 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evlampios E. Apostolidis | 1 | 82 | 9.62 |
| Vasileios Mezaris | 2 | 803 | 81.40 |
| Mathilde Sahuguet | 3 | 44 | 3.92 |
| Benoit Huet | 4 | 519 | 66.20 |
| Barbora Cervenková | 5 | 16 | 1.88 |
| Daniel Stein | 6 | 16 | 1.92 |
| Stefan Eickeler | 7 | 321 | 36.23 |
| José Luis Redondo García | 8 | 46 | 7.81 |
| Raphaël Troncy | 9 | 1064 | 102.16 |
| Lukás Pikora | 10 | 16 | 1.55 |