Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe methods for automatic labeling of high-level semantic concepts in documentary style videos. The emphasis of this paper is on audio processing and on fusing information from multiple modalities. The work described represents initial work towards a trainable system that acquires a collection of generic "intermediate" semantic concepts across modalities (such as audio, video, text) and combines information from these modalities for automatic labeling of a "high-level" concept. Initial results suggest that multi-modal fusion achieves a 12.5% relative improvement over the best unimodal model.
['Giridharan Iyengar', 'Harriet J. Nock', 'Chalapathy Neti', 'Martin Franz']
I am writing a research paper on a idea Semantic indexing of multimedia using audio, text and visual cues
[{"from": "human", "value": "I am writing a research paper on a idea Semantic indexing of multimedia using audio, text and visual cues"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe methods for automatic labeling of high-level semantic concepts in documentary style videos. The emphasis of this paper is on audio processing and on fusing information from multiple modalities. The work described represents initial work towards a trainable system that acquires a collection of generic \"intermediate\" semantic concepts across modalities (such as audio, video, text) and combines information from these modalities for automatic labeling of a \"high-level\" concept. Initial results suggest that multi-modal fusion achieves a 12.5% relative improvement over the best unimodal model."}]