LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
Apple 2 months ago 29
Researchers introduced LVSum, a benchmark with 72 annotated videos averaging 16 minutes to evaluate how well multimodal large language models summarize long-form video content with temporal grounding. Testing showed that transcripts significantly outperform visual frames for summarization quality, with a substantial gap remaining between AI-generated and human summaries. Current MLLMs struggle with temporal grounding and cross-modal coherence, revealing systematic weaknesses in understanding the temporal sequencing of events in extended videos.