Invention Grant
- Patent Title: Video retrieval techniques using video contrastive learning
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Application No.: US18179617Application Date: 2023-03-07
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Publication No.: US12277171B2Publication Date: 2025-04-15
- Inventor: Xiao Xia Mao , Wei Jun Zheng , Shi Hui Gui , Xiao Feng Ji
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent Lily Neff
- Main IPC: G06V20/70
- IPC: G06V20/70 ; G06F16/78 ; G06F40/30 ; G06V10/74 ; G06V10/774 ; G06V10/82 ; G06V30/19

Abstract:
A method, computer system, and a computer program product are provided for training a neural network for finding queried videos. Two pairs of video clips and associated text are obtained from a first dataset and a second dataset. The first dataset is used to train two video encoders by providing the video clips to the encoders as input and providing the outputs to a cosine similarity calculator. The second dataset is used to train a multi-mentor paradigm with two mentors. A first mentor and a second mentor are each provided the pair of textual data inputs. The first mentor provides a similarity value comparison, and the second mentor provides a word mover distance. Using the output from the multi-mentor paradigm and the encoders, a contrastive loss is calculated and used to provide contrastive learning of video features by differentiating similarity and dissimilarity of the video clips.
Public/Granted literature
- US20240303272A1 VIDEO RETRIEVAL TECHNIQUES USING VIDEO CONTRASTIVE LEARNING Public/Granted day:2024-09-12
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