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Title:
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GRAPH BASED TEMPORAL AGGREGATION FOR VIDEO
RETRIEVAL |
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Author(s):
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Aprameya Bharadwaj, Arvind Srinivasan, Aveek Saha and Subramanyam Natarajan |
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ISBN:
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978-989-8704-34-4 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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69 |
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Last Page:
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76 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Large scale video retrieval is a field of study with a lot of ongoing research. The work that has been done in this field
either uses image queries from within the video dataset or iterates through videos frame by frame. These approaches are
not generalized for queries from outside the dataset and do not scale well for large video datasets. To overcome these
issues, we propose a new approach for video retrieval through image queries where an undirected graph is constructed
from the combined set of frames from all videos to be searched. The node features of this graph are used in the task of
video retrieval. Experimentation is done on the MSR-VTT dataset by using query images from outside the dataset. To
evaluate this novel approach P@5, P@10 and P@20 metrics are calculated. |
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