Television Commercial Classification with Scene Pre-Training

Television commercials (TVCMs) contain much information that useful for social analysis, such as social conditions and trends. However, TVCM classification is difficult because of the complexity of TVCMs and the difficulty of collecting them. A TVCM consists of several scenes with different contents. Furthermore, there is no publicly available Japanese TVCM dataset for researchers. In this paper, we propose a pre-training method using scenes of TVCMs to improve the performance of TVCM classification. The experimental results show that the proposed method is effective for TVCM classification compared to training on TVCMs only.