Publication | Open Access
Generating story variants with constrained video recombination
18
Citations
20
References
2011
Year
Unknown Venue
Natural Language ProcessingArtificial IntelligenceStory VariantsImage AnalysisMachine LearningNarrative GenerationEngineeringAutomatic GenerationVision Language ModelVideo SummarizationVideo HallucinationComputer ScienceVideo UnderstandingVideo RetrievalVideo AdaptationComputer VisionVideo Segmentation
We present a novel approach to the automatic generation of filmic variants within an implemented Video-Based Storytelling (VBS) system that successfully integrates video segmentation with stochastically controlled re-ordering techniques and narrative generation via AI planning. We have introduced flexibility into the video recombination process by sequencing video shots in a way that maintains local video consistency and this is combined with exploitation of shot polysemy to enable shot reuse in a range of valid semantic contexts. Results of evaluations on output narratives using a shared set of video data show consistency in terms of local video sequences and global causality with no loss of generative power.
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