Video Data Clustering/Classification TRIZ Cases
- Spatio-Temporal Neural Network for Video Retrieval
A spatio-temporal neural network extracts features from video clips to determine similarity scores.
- Video Resume Duplication Coefficient Calculation
A computing device acquires video elements from target and existing resumes to determine a duplication coefficient quantifying similarity between them.
- User Feature Generation via Watch History Embeddings
Mapping viewing timestamps to word vectors generates user features from watch histories, resolving accuracy issues caused by missing attribute data.
- Video Genre Classification Using Probability Vector Normalization
Genre-specific detector modules provide probability values analyzed by a combiner to generate classification signals for video sequences.