18181762. CONTEXT-BASED DYNAMIC ZOOMING simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
CONTEXT-BASED DYNAMIC ZOOMING
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Prattyush Mangal of London (GB)
Anjali Srivastava of Kanpur (IN)
CONTEXT-BASED DYNAMIC ZOOMING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18181762 titled 'CONTEXT-BASED DYNAMIC ZOOMING
Simplified Explanation:
This patent application describes a method, computer system, and computer program product for context-based dynamic zooming in video content. The technology involves using natural language processing to determine the context of a text block, identifying a relevant clip of video content synced with the text block, selecting the most relevant region of the video frame based on the text block context, storing this region as a zoom region, and dynamically magnifying the zoom region when displaying the video content.
Key Features and Innovation:
- Utilizes natural language processing (NLP) to determine the context of a text block.
- Syncs video content with text blocks to identify relevant clips.
- Selects the most relevant region of a video frame based on the text block context.
- Stores and magnifies the zoom region of the video frame dynamically.
Potential Applications: This technology could be applied in educational videos, online tutorials, video conferencing, and video analysis tools.
Problems Solved: This technology addresses the challenge of providing viewers with a more focused and relevant viewing experience by dynamically zooming into the most important regions of video content based on the context of accompanying text.
Benefits:
- Enhances viewer engagement and comprehension.
- Provides a more personalized and interactive viewing experience.
- Improves the efficiency of conveying information in video content.
Commercial Applications: Dynamic zooming technology could be utilized in e-learning platforms, video editing software, virtual classrooms, and online presentation tools to enhance user experience and engagement.
Prior Art: Readers interested in prior art related to this technology may explore research on dynamic video content manipulation, natural language processing in video analysis, and interactive video viewing technologies.
Frequently Updated Research: Researchers are continually exploring advancements in natural language processing, video content analysis, and user interaction with video content, which may impact the development and implementation of context-based dynamic zooming technology.
Questions about Context-Based Dynamic Zooming: 1. How does this technology improve user engagement with video content? 2. What are the potential limitations of using natural language processing for context-based dynamic zooming in videos?
Original Abstract Submitted
A method, computer system, and a computer program product for context-based dynamic zooming is provided. The present invention may include determining a context of a text block using natural language processing (NLP). The present invention may include identifying a clip of a video content synced with the text block, wherein the clip includes at least one frame of the video content. The present invention may include selecting a most relevant region of the at least one frame based on the context of the text block. The present invention may include storing the most relevant region of the at least one frame of the video content as a zoom region of the at least one frame. The present invention may include in response to displaying the at least one frame of the video content, dynamically magnifying the zoom region of the at least one frame of the video content.