Visual Content Alignment with Search Term Queries
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Solution Overview
Problem
Current web search engines lack effective methods to align visual content with search term queries, resulting in suboptimal search results that do not dynamically tailor images or frames to user preferences, and fail to provide interactive and relevant video/image object recognition.
Innovation Solution
A method and system that receive search terms, select and optimize subsets of frames from preprocessed visual media based on metadata, and facilitate the display of search results, allowing users to interactively view and play videos from the first instance of matched objects, with color-coded matching and ordering by relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If web search engines use traditional text-based search methods, then search results can be obtained quickly, but the visual content does not align effectively with search term queries
Solution Approach 1:
The system performs preliminary actions by preprocessing visual media content before search queries are submitted. Frames are extracted, objects are detected and tracked, and metadata is generated in advance, so that when a search query arrives, the system can quickly retrieve and align relevant visual content without performing heavy processing at query time.
Solution Approach 2:
The system creates lightweight frame-level metadata representations instead of storing and processing entire video files during search. These simplified visual indices are easily searchable and can be quickly aligned with search terms, providing fast retrieval while maintaining precise visual-content-to-query alignment.
2Ease of operation
If web search engines display all key frames from video streams, then comprehensive visual information is provided, but user interaction and relevance to specific search terms are reduced
Solution Approach 1:
The system applies local quality by detecting and tracking specific objects within frames and associating them with search terms. Instead of treating all frames uniformly, the system identifies frames containing relevant objects and highlights or prioritizes them, allowing users to easily interact with search-relevant content while preserving important visual information.
Solution Approach 2:
The system segments video content into individual frames with detected objects, allowing selective presentation of frames based on their relevance to search terms. This segmentation enables the system to display only the most relevant frames or frame portions, improving user interaction while maintaining essential visual information through object-level indexing.
3Measurement precision
If web search engines perform detailed object detection and frame optimization, then visual alignment with search terms is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs detailed object detection, frame selection, and metadata generation as preliminary actions during content preprocessing. This advance preparation creates ready-to-use visual indices that can be quickly queried and aligned with search terms, achieving precise visual alignment without incurring processing delays at query time.
Solution Approach 2:
The system implements dynamic frame selection and optimization based on search term relevance. Frames are selected and optimized dynamically according to the specific query, using precomputed object detections and tracking information to efficiently identify and present the most relevant visual content without exhaustive processing.
Data Source
AI summary
Embodiments include method, systems and computer program products for aligning visual content to search term queries. In some embodiments, one or more search terms may be received. A plurality of results may be obtained using the one or more search terms on metadata associated with preprocessed visual media. A subset of frames may be selected for each of the plurality of results. A search results set may be generated by optimizing the subset of frames for each of the plurality of results. The search results set may be transmitted.