CONTENT-BASED VIDEO SHOT BOUNDARY DETECTION USING CANNY EDGE FEATURES

Approved

Relevance and Originality

The research addresses the important problem of Video Shot Boundary Detection (VSBD), which is highly relevant for video indexing, retrieval, and summarization. By focusing on Canny edge features, the study provides a novel yet computationally efficient perspective compared to more complex models. The contribution is meaningful as it tackles the challenge of accurate detection with reduced complexity, bridging a gap between performance and efficiency in video analysis research. Keywords: VSBD, video indexing, content-based retrieval.

Methodology

The methodology is clearly defined through a structured pipeline: grayscale conversion, Canny edge extraction, normalized ECR computation, and threshold-based transition detection. This sequence is logical and easy to follow, ensuring reproducibility. However, the justification for parameter choices such as threshold selection could be elaborated further, and a comparative analysis with alternative edge-detection methods might strengthen the argument. Keywords: grayscale, edge features, thresholding.

Validity & Reliability

The results appear robust, with an average F1-score of 93.17 across standard datasets like TRECVID, indicating strong reliability. The inclusion of multiple evaluation metrics—precision, recall, and F1-score—enhances credibility. Still, the generalizability may be limited if datasets do not fully represent diverse video content, and a discussion on possible limitations or error cases would provide more transparency. Keywords: precision, recall, robustness.

Clarity and Structure

The Research Article is well-organized, presenting a coherent flow from problem statement to proposed solution and results. The technical explanations are concise, though more detailed discussion on the advantages of using Canny edges over other approaches could enhance readability for a broader audience. Overall, the writing maintains clarity, though inclusion of visual examples such as detection frames could further improve comprehension. Keywords: logical flow, readability, presentation.

Result Analysis

The analysis effectively demonstrates the performance benefits of the proposed method, with metrics that substantiate the conclusions. The focus on abrupt cut detection is clear, though extending the discussion to gradual transitions could highlight broader applicability. Keywords: performance, dataset evaluation, interpretation.