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Two-layers re-ranking approach based on contextual information for visual concepts detection in videos. Abstract: Context helps to understand the meaning of ...
The semantic context (inter-concepts relations) and the temporal context are different and impor- tant for visual concepts detection, based on this.
The approach takes initial search results from established video search methods (which typ- ically are conservative in usage of concept detectors) and mines.
In this paper we introduce a novel contextual fusion method to improve the detection scores of semantic concepts in images and videos.
We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search.
Missing: layers re- ranking
In this paper, a robust re-ranking method based on expanded k-reciprocal neighbors is proposed. Our method assumes that if a gallery image is the probe image of ...
Aug 11, 2024 · We will explore its key components: the generation of multimodal representations for items and personalized items (derived from the interaction ...
A re-ranking method that improves the performance of semantic video indexing and retrieval, by re-evaluating the scores of the shots by the homogeneity and ...
Dec 1, 2009 · In this paper, to exploit contextual information for concept detection and visual search, we propose a novel reranking method, called ordinal ...
Missing: layers | Show results with:layers
Jun 15, 2023 · After obtaining retrieved examples, re-ranking is a widely adopted post-processing step to reorder and improve the initial retrieval results by ...