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Large-Margin Objective Function
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Classroom Contents
Visual-Textual Video Synopsis Generation - Techniques and Applications
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- 1 Intro
- 2 Motivation
- 3 Video Summarization: Categories
- 4 Application: Movie Trailer
- 5 Application: Security
- 6 Application: Personalization
- 7 Challenges
- 8 Tackling subjectivity
- 9 Video Summarization as Subset Selection
- 10 Determinantal Point Process
- 11 DPP for Video Summarization
- 12 Limitations
- 13 Sequential DPP
- 14 Sequential-Hierarchical DPP
- 15 Summarize the story
- 16 Experimental Setup
- 17 List of concepts
- 18 Evaluation Scenarios
- 19 Shortcomings
- 20 Constructing Dataset
- 21 Collecting Annotations
- 22 Dense Concept Tagging
- 23 Comparing summaries
- 24 User Summaries
- 25 Memory Network Encoding
- 26 Qualitative Results - Drink - Food
- 27 Summary Compiled the first query-focused video summarization dataset
- 28 Length of Summary
- 29 Length of the Summary
- 30 Sequential GDPP (SeqGDPP)
- 31 Train and Test Discrepancy
- 32 Large-Margin Objective Function
- 33 Updated Evaluation Metric
- 34 Generic Summarization Results
- 35 Query-Focused Summarization Results
- 36 Naïve Approach
- 37 Issues
- 38 Alternative Approach
- 39 Advantages
- 40 Framework
- 41 Caption Generation Network
- 42 Visual-Language Content Matching Network
- 43 Purport Network
- 44 Experiments
- 45 Analysis
- 46 Ablation Study
- 47 Quantitative Results - Visual Domain
- 48 Summary ... Chapter 3
- 49 Future Work