Album Page Reduction Preserving Story Consistency

The system performs preliminary analysis of the model album's story structure and identifies key pages that carry essential narrative elements before the page reduction process. By pre-establishing the story framework and determining which pages contain critical story elements, the system can make informed decisions about which pages to retain or merge, thereby maintaining story consistency while achieving the desired page count reduction.

The system applies different treatment strategies to different pages based on their local characteristics and importance to the story. Pages containing critical narrative elements are preserved with higher priority, while pages with redundant or less important content are candidates for deletion or merging. This localized quality assessment ensures that story consistency is maintained in critical sections while allowing flexibility in non-critical areas.

The system implements a feedback mechanism where the story consistency is continuously evaluated during the page reduction process. After each deletion or merging operation, the system checks whether the remaining pages still maintain coherent narrative flow. If story consistency deteriorates below a threshold, the system adjusts its deletion strategy, preserving pages that are critical for maintaining story coherence. This feedback loop enables the system to balance processing simplicity with story integrity.

The system introduces an intermediary analysis layer that evaluates the story structure and page relationships before and during the deletion process. This intermediary component acts as a mediator between the simple deletion operation and the complex story consistency requirement, providing intelligent guidance on which pages can be safely removed without compromising the overall narrative. The intermediary analysis includes detecting scene transitions, identifying key moments, and assessing page interdependencies.