Generating Video Descriptions with Topic Guidance
Table 6. Captioning performance with different numbers of topics. The acronyms B, M, R, C denote BLEU@4, METEOR, ROUGE-L and CIDEr respectively.
['#topics', 'B', 'M', 'R', 'C']
Influence of the Number of Topics: We also explore the performance of TGM with different numbers of topics. When there is fewer number of topics, the accuracy of topic prediction is higher but it provides less guidance to generate video descriptions. When there is more number of topics, though the topic guidance becomes strong, the captioning performance suffers from the low topic prediction accuracy. Since the more the topics are the more the topics resemble semantic concepts, it suggests that using a small number of topics is enough for the video captioning task and are superior to the large number of detected concepts.