Digital Book Soundtrack Alignment Using Movie Scene Mapping
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Solution Overview
Problem
Existing systems fail to effectively align digital books with soundtracks in a way that enhances the reading experience by matching the narrative and emotional content of the book with the soundtrack, often relying on approximate keyword matching or genre-based music selection, and lack precision in synchronizing audio cues with the visual display.
Innovation Solution
A method and system that segments chapters of a digital book and scenes of a movie, aligning them using narrative-relevant factors and tonal properties, and then matches cohesive track segments with background soundtracks to create a synchronized soundtrack that enhances the reading experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual composition or compilation of playlist for a book is performed, then the music selection can be emotionally relevant and stylistically cohesive, but the process becomes laborious and time-consuming
Solution Approach 1:
The system enables automatic soundtrack identification by extracting semantic concepts from book text, matching them with movie scenes, and selecting corresponding soundtracks without manual intervention. The system serves itself by autonomously completing the music selection process that previously required human expertise and time investment.
Solution Approach 2:
The patent introduces movie scenes as an intermediary layer between book text and soundtrack selection. By mapping book semantics to movie scene emotions and visuals, then selecting soundtracks from matched movies, the system creates a bridge that automates the emotionally relevant music selection process.
2Productivity
If approximate synonyms for extracted keywords are used to select background music, then music can be selected for reading pages, but the alignment precision between book content and soundtrack is insufficient
Solution Approach 1:
The patent replaces the mechanical keyword-matching system with a semantic concept extraction and movie scene mapping system. Instead of relying on approximate synonym matching, the system uses natural language processing to extract semantic concepts from book text and matches them with emotionally relevant movie scenes, achieving higher precision alignment.
Solution Approach 2:
The system adds a new dimension of movie scene mapping between book text and soundtrack selection. By introducing the movie scene layer with its visual and emotional attributes, the system transforms the one-dimensional keyword matching into a multi-dimensional semantic alignment process, improving precision.
3Ease of operation
If audio cues are dynamically played back in synchronization with visual display based on user interaction, then the reading experience can be enhanced, but the synchronization precision and narrative alignment are insufficient
Solution Approach 1:
The system performs preliminary action by pre-identifying and pre-aligning soundtrack segments with book chapters and paragraphs before the reading process begins. The semantic mapping between book content and movie scenes is established in advance, enabling precise synchronization during playback without requiring complex real-time adjustments.
4Adaptability or versatility
If genre tags of music are matched with genre tags of book, then music can be selected based on book genre, but the selection lacks narrative and emotional relevance
Solution Approach 1:
The patent applies local quality by moving from global genre-based music selection to local semantic concept-based selection. Instead of selecting music based on overall book genre, the system extracts specific semantic concepts from each book segment and matches them with movie scenes having corresponding emotional and visual qualities, ensuring local emotional relevance throughout the narrative.
Data Source
AI summary
A method for identifying a soundtrack for a digital book by automatically aligning the digital book and the soundtrack with a movie using a movie adaptation technique is provided. The method includes (i) receiving media content through a user device that includes the digital book, the soundtrack, and the movie, (ii) segmenting (a) the chapters of the digital book into paragraph segments, (b) the movie into scene boundaries, and (c) tracks of the soundtrack into cohesive track segments, (iii) aligning the scene boundaries with the paragraph segments to generate aligned paragraph segments, (iv) aligning a background soundtracks of the movie with the cohesive track segments of the soundtrack using a majority key and a minority key of the cohesive track segments and the background soundtracks to generate aligned cohesive track segments and (v) aligning the aligned paragraph segments with the aligned cohesive track segments.