Video Data Browsing/Visualisation TRIZ Cases

A split video search interface keeps results visible during playback and enables seamless switching between videos without repeated backtracking.

Adds timed overlays to video scenes so users can identify service objects and request related information through a voice AI assistant.

Direct author video lists inside the landscape playback page reduce page switching and keep video browsing seamless in horizontal mode.

Viewing history and closed-caption analysis let the interface explain unfamiliar sports terms at the right detail level for each user.

Differential evolution tunes weights across recommendation algorithms to replace manual curation and improve media recommendation relevance.

Collapsed and expanded product UI elements pair videos with detected items, improving product accuracy while limiting resource-heavy data loading.

A unified gallery interface links video frames and associated photos so users can extract and share content faster with fewer steps.

Wireless server access lets XR headsets browse, load, edit, and release large media assets without cables, buffering, or permanent storage use.

Time-linked tabs surface products and related video items at relevant moments, improving access without interrupting playback.

Swipe gestures replace hard-to-grab scrubbers, making video seeking and navigation easier and more precise on small touchscreen media players.

Selected programs are placed on a time axis so users can see schedule distribution and manage overlapping recordings without gaps.

A focalization engine extracts objects from complex show art and presents personalized secondary images to cut recognition time in content menus.

Machine learning transforms content entries into reduced descriptions and tags, cutting manual review time while improving related-item linking.

Object detection and user-based secondary image selection shorten show art analysis time and improve navigation in large content libraries.