## 1 Introduction  
In recent years, video content has become more important than ever for a wide range of businesses, advertisements, and cultures. Unlike traditional marketing methods such as billboards or direct mail, video content can offer curated information with a more personalized and immersive feel. As the demand for such video content increases, there is demand for a new paradigm that simultaneously conveys additional information while watching a video with carry-on devices, e.g., smartphones and mobile tablets. One intuitive solution for offering this service is to use traditional radio frequency (RF)-based communications. However, wireless connections require explicit RF devices, and the broadcasting characteristics of RF signals cause information spamming or leakage to undesired devices. As a viable candidate that can solve this issue, display-to-camera communications (D2C) [1, 2], which encodes information in screen imagery that can be decoded with a camera receiver, is attracting attention. Thanks to the high refresh rates (\(\geq\)120 Hz) in off-the-shelf electronic displays, it is possible to hide data in high-frame-rate videos to cheat the human eye, which has much lower perception rates (40-50 Hz). D2C technology is a type of visible light communications [3, 4, 5] that can be applied anywhere in the environment where there are electronic displays and camera sensors, mainly at short communication distances. The easiest application for the D2C paradigm is quick response (QR) codes [6]. In general, QR codes occupy a small area in the corner of the screen. However, spatial inclusion of these visual patterns can cause problems; they are unsightly to some viewers, or they impair the perception of key visual information. InFrame and InFrame++ [7,8] were developed to provide D2C communications with imperceptible video artifacts by designing complementary frame compositions and hierarchical frame structures. HiLight [9] uses the orthogonal transparency (alpha) channel to transmit data, and DisCo [10] uses a temporal sequence in a spatial pattern. RainBar [11] and RainBar+ [12] were designed to support flexible frame synchronization and code extraction. SoftLight [13,14] uses a channel coding approach, which adapts the transmission data rate to the link quality. In [15], the Robust and Aesthetic (RA) Code method inserts 2D barcodes into a display to minimize channel loss due to downsampling error and intersymbol interference. In [16], the signal-rich-art code image was proposed, presenting related techniques for counting the number of pattern blocks and for recognition of code patterns. [PERSON] et. al. [17] proposed a technology to insert barcodes using vibrations of colors that cannot be recognized by the human eye. UnseenCode [18] is a barcode insertion and extraction method using cross-correlation of color images. In [19], ChromaCode was proposed, which is an adaptive embedding method that changes according to the brightness and texture of the display. Unlike conventional schemes, Complementary Color Barcode-based Optical Camera Communications (CCB-OCC) [20] is a method to send symbols with carefully designed complementary color pairs that are perceptible to the human eye as a white color bar, but the individual color pattern is detectable by a camera. However, the conventional CCB-OCC system detects the color barcode area using a differential image, but it may fail to accurately detect the area of the barcode because it is greatly affected by the camera distance and angle. In addition, color value extraction using heuristic histogram analysis cannot guarantee robust performance in packet synchronization and data decoding. In this study, we propose Deep learning-driven CCB-OCC (DeepCCB-OCC), an imperceptible D2C communications system that supports reliable data transmission. To detect seamless barcode image regions in D2C links, a You Only Look Once (YOLO)-based barcode area detection model is implemented.