Modal

World Wide Web

Philosophy

Polymer chemistry

Data structure

Operating system

The Internet

Computer science

Query language

Simple (philosophy)

Semantics (computer science)

Embedding

Ranking (information retrieval)

Mathematics

Query expansion

Epistemology

Mathematical analysis

Artificial intelligence

Tree (set theory)

Information retrieval

Encoding (memory)

Chemistry

Programming language

Encoder

Tree structure

The rapid growth of user-generated videos on the Internet has intensified the need for text-based video retrieval systems. Traditional methods mainly favor the concept-based paradigm on retrieval with simple queries, which are usually ineffective for complex queries that carry far more complex semantics. Recently, embedding-based paradigm has emerged as a popular approach. It aims to map the queries and videos into a shared embedding space where semantically-similar texts and videos are much closer to each other. Despite its simplicity, it forgoes the exploitation of the syntactic structure of text queries, making it suboptimal to model the complex queries.

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval