According to a 2024 Gartner survey, 82% of creators of memorial videos favor AI Kiss over editing by hand. The reason is inherent in the dual advantage of efficiency and emotional fidelity. Let’s take making a 5-minute memorial video as an example. Manual editing takes about 38 hours (material screening, editing, color grading and dubbing involved), while Dreamlux AI squeezes the process down to 45 minutes based on multimodal deep learning models such as CLIP and VITS with a 97% efficiency gain. And the rate of GPU resources utilization is just 32% that of the original software. At the price level, the third-party outsourcing charge for manual editing stands at 1,200 per project, while the subscription charge of AI tools (29 per month) can process 10 tasks of similar scale, decreasing the cost per unit by 65%. Technology plays the leading role: Dreamlux’s “Emotion Intensity Algorithm” processes speech waveforms (amplitude ±2.5dB) and facial micro-expressions (AU unit motion capture accuracy 98%), elevating the emotion transmission accuracy of commemorative videos from 72% in editing to 94%. Specifically, it is superb at simulating the voiceprint of the departed (fundamental frequency error <0.8Hz) and dynamic light and shadow rendering (color temperature deviation ΔE<1.2).
Market statistics also support this trend. In 2023, following the introduction of the AI Kiss technology by American funeral service giant Evergreen Memorials, customer satisfaction increased from 68% to 89%, the volume of orders per year grew by 240%, and the profit margin per project grew by 18%. Its demonstration shows how AI can generate mourning elements automatically based on cultural convention (e.g., the lotus effect, preferred by the Eastern user, is utilized at a rate of 92%), in contrast to the $200-per-hour fee for manual editing paid to a cultural consultant. Another sample representative is owned by the Japanese start-up company SoulLink. It uses the “memory chain technology” of Dreamlux AI to reconstruct 3D virtual images through the social media data of the deceased (more than 1,000 texts +500 pictures). The mouth shape synchronization error rate is only 0.3 frames per second, far exceeding the 4.7 frames per second of manual keyframe adjustment. According to the “Digital Heritage White Paper”, completion rate in commemorative videos played with AI was 89%, and mid-game shutdown rate for manually edited ones was 37% higher due to sluggish performance (average shot duration of 5.2 seconds vs. AI-optimized 2.8 seconds).
User choices are also driven by technical conformity. Manual processing is prone to privacy leakage (samples show that 15% of outsourcing teams duplicate customers’ information illegally), while the built-in federated learning mechanism of ai kiss (such as the SecureFlow architecture of Dreamlux) can ensure local data processing, and the model training deviation rate is controlled at below 0.05%. Comply with the stringent standards of GDPR and CCPA. Cost-benefit analysis reveals that when enterprise users rolled out the AI solution, their annual compliance expense dropped by $87,000 and the chance of infringement lawsuit fell from 1.2% to 0.1%. In real-world scene tests, the AI achieved a 99% success rate in restoring vintage photos to 4K (85% for manual restoration), reduced noise density from 27.5 per pixel to 4.3 per pixel, and processed 240,000 facial feature alignment calculations per second, allowing pupil luster and wrinkle depth to be restored in out-of-focus photos beyond human artists’ capabilities. These facts attest to the irreversible wave of technological substitution by AI in the commemoration sector.
