MMCTAgent: Advancing Multimodal Reasoning for Complex Video and Image Analysis
MMCTAgent introduces an approach in artificial intelligence that integrates multiple data types, including language, images, and video over time. This combination supports AI systems in tackling complex tasks involving extensive video and image analysis. TL;DR MMCTAgent combines language, visual, and temporal data for complex reasoning. It employs iterative planning and reflection to refine task execution. The system is built on Microsoft’s AutoGen framework to manage multimodal inputs. Understanding Multimodal Reasoning Multimodal reasoning refers to processing information from different sources simultaneously. An AI using this approach might interpret spoken words, identify objects in images, and track changes in videos. MMCTAgent applies this to analyze data more comprehensively than single-mode systems. Iterative Planning and Reflection Process MMCTAgent uses a cycle of planning, executing, and reviewing its actions. If the results are unsat...